Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n
See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
\u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
\u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
American tech giant Google is expanding its generative AI catalog with PaliGemma, a brand-new AI model. Announced during the recently concluded Google I\/O, PaliGemma is a vision-language model (VLM) that understands both visual and text prompts simultaneously. <\/p>\n\n\n\n \u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
The post goes on to elaborate on some of the corrections it has made. These include better detection mechanisms for nonsensical queries, limiting the use of user-generated content, and restricting queries that were not helpful.<\/p>\n","post_title":"Google Improves AI Overviews In Light Of Recent Controversy","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-improves-ai-overviews-in-light-of-recent-controversy","to_ping":"","pinged":"","post_modified":"2024-06-10 20:05:33","post_modified_gmt":"2024-06-10 10:05:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17252","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":17141,"post_author":"17","post_date":"2024-06-02 21:45:58","post_date_gmt":"2024-06-02 11:45:58","post_content":"\n American tech giant Google is expanding its generative AI catalog with PaliGemma, a brand-new AI model. Announced during the recently concluded Google I\/O, PaliGemma is a vision-language model (VLM) that understands both visual and text prompts simultaneously. <\/p>\n\n\n\n \u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Google responded via a blog release,<\/a> saying, <\/em><\/strong>\u201cIn the last week, people on social media have shared some odd and erroneous overviews. We hold ourselves to a high standard, as do our users, so we expect and appreciate the feedback, and take it seriously. Given the attention AI Overviews received, we wanted to explain what happened and the steps we\u2019ve taken.\u201d.<\/em><\/p>\n\n\n\n The post goes on to elaborate on some of the corrections it has made. These include better detection mechanisms for nonsensical queries, limiting the use of user-generated content, and restricting queries that were not helpful.<\/p>\n","post_title":"Google Improves AI Overviews In Light Of Recent Controversy","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-improves-ai-overviews-in-light-of-recent-controversy","to_ping":"","pinged":"","post_modified":"2024-06-10 20:05:33","post_modified_gmt":"2024-06-10 10:05:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17252","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":17141,"post_author":"17","post_date":"2024-06-02 21:45:58","post_date_gmt":"2024-06-02 11:45:58","post_content":"\n American tech giant Google is expanding its generative AI catalog with PaliGemma, a brand-new AI model. Announced during the recently concluded Google I\/O, PaliGemma is a vision-language model (VLM) that understands both visual and text prompts simultaneously. <\/p>\n\n\n\n \u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Since then, users have reported multiple<\/a> misleading or outright incorrect responses generated by the AI. Many people have posted these bizarre search results on X (formerly Twitter). This has predictably led to scrutiny about the quality of Google\u2019s products. Experts have also questioned Google\u2019s ability to keep pace with its competitors in the generative AI race. <\/p>\n\n\n\n Google responded via a blog release,<\/a> saying, <\/em><\/strong>\u201cIn the last week, people on social media have shared some odd and erroneous overviews. We hold ourselves to a high standard, as do our users, so we expect and appreciate the feedback, and take it seriously. Given the attention AI Overviews received, we wanted to explain what happened and the steps we\u2019ve taken.\u201d.<\/em><\/p>\n\n\n\n The post goes on to elaborate on some of the corrections it has made. These include better detection mechanisms for nonsensical queries, limiting the use of user-generated content, and restricting queries that were not helpful.<\/p>\n","post_title":"Google Improves AI Overviews In Light Of Recent Controversy","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-improves-ai-overviews-in-light-of-recent-controversy","to_ping":"","pinged":"","post_modified":"2024-06-10 20:05:33","post_modified_gmt":"2024-06-10 10:05:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17252","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":17141,"post_author":"17","post_date":"2024-06-02 21:45:58","post_date_gmt":"2024-06-02 11:45:58","post_content":"\n American tech giant Google is expanding its generative AI catalog with PaliGemma, a brand-new AI model. Announced during the recently concluded Google I\/O, PaliGemma is a vision-language model (VLM) that understands both visual and text prompts simultaneously. <\/p>\n\n\n\n \u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
See Related: <\/em><\/strong>BlackRock Plans 3% Job Cuts Amidst Bitcoin ETF Anticipation<\/a><\/p>\n\n\n\n Since then, users have reported multiple<\/a> misleading or outright incorrect responses generated by the AI. Many people have posted these bizarre search results on X (formerly Twitter). This has predictably led to scrutiny about the quality of Google\u2019s products. Experts have also questioned Google\u2019s ability to keep pace with its competitors in the generative AI race. <\/p>\n\n\n\n Google responded via a blog release,<\/a> saying, <\/em><\/strong>\u201cIn the last week, people on social media have shared some odd and erroneous overviews. We hold ourselves to a high standard, as do our users, so we expect and appreciate the feedback, and take it seriously. Given the attention AI Overviews received, we wanted to explain what happened and the steps we\u2019ve taken.\u201d.<\/em><\/p>\n\n\n\n The post goes on to elaborate on some of the corrections it has made. These include better detection mechanisms for nonsensical queries, limiting the use of user-generated content, and restricting queries that were not helpful.<\/p>\n","post_title":"Google Improves AI Overviews In Light Of Recent Controversy","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-improves-ai-overviews-in-light-of-recent-controversy","to_ping":"","pinged":"","post_modified":"2024-06-10 20:05:33","post_modified_gmt":"2024-06-10 10:05:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17252","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":17141,"post_author":"17","post_date":"2024-06-02 21:45:58","post_date_gmt":"2024-06-02 11:45:58","post_content":"\n American tech giant Google is expanding its generative AI catalog with PaliGemma, a brand-new AI model. Announced during the recently concluded Google I\/O, PaliGemma is a vision-language model (VLM) that understands both visual and text prompts simultaneously. <\/p>\n\n\n\n \u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n See Related: <\/em><\/strong>OpenAI Launches ChatGPT Plus Subscription In India; Includes GPT-4<\/a><\/p>\n\n\n\n According to Google, the model is designed for \u201cclass-leading fine-tune performance\u201d on several tasks including writing captions for images, answering visual questions, and understanding texts in images. Google further added, \"We're providing both pre-trained and fine-tuned checkpoints at multiple resolutions, as well as checkpoints specifically tuned to a mixture of tasks for immediate exploration\u201d<\/em><\/strong>.<\/p>\n\n\n\n Unlike many of Google\u2019s other AI models, PaliGemma is an open model. It is available to developers and researchers on various platforms such as GitHub, Hugging Face models, Kaggle, Vertex AI Model Garden, and ai.nvidia.com<\/a>. Interested developers can also interact with the model via this Hugging Face Space. The launch of PaliGemma coincides with other AI tools released by Google like Gemma 2 and Gemini 1.5 Flash. <\/p>\n","post_title":"Google Launches Brand New Vision Language Model: PaliGemma","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-launches-brand-new-vision-language-model-paligemma","to_ping":"","pinged":"","post_modified":"2024-06-02 21:46:01","post_modified_gmt":"2024-06-02 11:46:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17141","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":16998,"post_author":"17","post_date":"2024-05-27 09:08:35","post_date_gmt":"2024-05-26 23:08:35","post_content":"\n Tech giant Google has unveiled its newest multimodal Large Language Model (LLM) called Gemini Flash. The announcement came during the recently concluded Google I\/O, the annual developer conference organized by Google.<\/p>\n\n\n\n \u201cToday, we\u2019re introducing Gemini 1.5 Flash: a model that\u2019s lighter-weight than 1.5 Pro, and designed to be fast and efficient to serve at scale\u201d<\/em><\/strong>, stated Demis Hassabis<\/a> CEO and Co-Founder of Google DeepMind. He goes on to explain that Flash is \u201coptimized for high-volume, high-frequency tasks at scale\u201d. Although this new model is a comparatively lighter weight model, it was still trained using the Gemini 1.5 pro model. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Launches Its Largest And Most Capable AI Model Yet - Google Gemini<\/a><\/p>\n\n\n\n Gemini Flash has been noted for its performance in summarization, chat applications, image and video captioning, data extraction from long documents and tables. The context window for the new model has also increased up to 1 million. This means the model can process one hour of video, 11 hours of audio, codebases with more than 30,000 lines of code, or over 700,000 words.<\/p>\n\n\n\n Gemini Flash is accessible for public preview in more than 200 regions across the globe. Currently<\/a>, the model is available in 2 price plans. The \u201cFree of charge\u201d plan has a limit of 15 requests per minute (RPM) and 1,500 requests per day (RPD). The \u201cpay-as-you-go\u201d plan will cost users $0.35 to $0.70 per 1 million input token and $1.05 to $2.10 per 1 million output token. The paid version allows 360 RPM and 10,000 RPD.<\/p>\n","post_title":"Google Announces Gemini Flash As It Attempts To Top The Generative AI Race","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-announces-gemini-flash-as-it-attempts-to-top-the-generative-ai-race","to_ping":"","pinged":"","post_modified":"2024-05-27 09:08:38","post_modified_gmt":"2024-05-26 23:08:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=16998","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
During the recently concluded Google I\/O, the company announced that they will make the AI Overview feature available to every person in the US. This feature provides AI-generated answers to any inquiry made by the user. The purpose of AI Overview was to enhance user experience and provide better search results.\u00a0<\/p>\n\n\n\n See Related: <\/em><\/strong>BlackRock Plans 3% Job Cuts Amidst Bitcoin ETF Anticipation<\/a><\/p>\n\n\n\n Since then, users have reported multiple<\/a> misleading or outright incorrect responses generated by the AI. Many people have posted these bizarre search results on X (formerly Twitter). This has predictably led to scrutiny about the quality of Google\u2019s products. Experts have also questioned Google\u2019s ability to keep pace with its competitors in the generative AI race. <\/p>\n\n\n\n Google responded via a blog release,<\/a> saying, <\/em><\/strong>\u201cIn the last week, people on social media have shared some odd and erroneous overviews. We hold ourselves to a high standard, as do our users, so we expect and appreciate the feedback, and take it seriously. Given the attention AI Overviews received, we wanted to explain what happened and the steps we\u2019ve taken.\u201d.<\/em><\/p>\n\n\n\n The post goes on to elaborate on some of the corrections it has made. These include better detection mechanisms for nonsensical queries, limiting the use of user-generated content, and restricting queries that were not helpful.<\/p>\n","post_title":"Google Improves AI Overviews In Light Of Recent Controversy","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-improves-ai-overviews-in-light-of-recent-controversy","to_ping":"","pinged":"","post_modified":"2024-06-10 20:05:33","post_modified_gmt":"2024-06-10 10:05:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=17252","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":17141,"post_author":"17","post_date":"2024-06-02 21:45:58","post_date_gmt":"2024-06-02 11:45:58","post_content":"\n American tech giant Google is expanding its generative AI catalog with PaliGemma, a brand-new AI model. Announced during the recently concluded Google I\/O, PaliGemma is a vision-language model (VLM) that understands both visual and text prompts simultaneously. <\/p>\n\n\n\n \u201cToday, we're excited to further expand the Gemma family with the introduction of PaliGemma, a powerful open vision-language model (VLM)\u201d<\/em><\/strong>, the company stated during the event<\/a>. The model was inspired by PaLI-3, a small-scale VLM developed by Cornell University. It integrates open components from both SigLIP (Sigmoid Language Image Pre-training) and the Gemma language model.<\/p>\n\n\n\n
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT
