Gemini

A natively multimodal family of models, unlike other models that involve combining separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities, including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Google describes Gemini's capabilities as having "the potential to transform any type of input into any type of output." Examples of Gemini use cases include generating both text and images, as well as combined outputs, coding, summarization, processing and analyzing raw audio, explaining reasoning in complex fields such as maths and physics, and understanding user intent to create bespoke experiences interacting with the models.

Gemini Pro & Nano were made available from launch, with Google stating Gemini Ultra was in the process of "extensive trust and safety checks." At launch, Google announced Gemini would be powering Bard, its conversational chatbot, launched in February 2023. In February 2024, Google announced Bard was rebranding as "Gemini," becoming a part of the company's multimodal family of models. The chatbot, available in 40forty languages, is available on the web, through a dedicated Android app, and on the Google app on iOS. Also in February 2024, Google launched Gemini Ultra 1.0, its largest model and the first to outperform human experts on MMLU (massive multitask language understanding) benchmarks. The version of Google's chatbot powered by Ultra is called Gemini Advanced, available by subscribing to Google's One AI premium plan, thatwhich also offers expanded storage and exclusive product features. The Google One AI Premium plan is priced at $20 a month.

On February 15, 2024, Google announced the next generation of Gemini, called Gemini 1.5. The first model released in limited preview is Gemini 1.5 Pro, a mid-size multimodal model for a wide range of tasks with a standard context window. Upon launch, 1.5 Pro was available in 38thirty-eight languages across 180+ countries and territories. 1.5 Pro comes with a 128,000 context window with a limited group of developers able to test a 1 million token context window during a private preview available through AI Studio and Vertex AI. Google states Gemini 1.5 shows significant improvements across a range of dimensions, with 1.5 Pro demonstrating comparable performance to 1.0 Ultra while using less compute.

Gemini is a family of multimodal AI models developed at Google that have been trained jointly across image, audio, video, and text data. Gemini models were designed with the goal of having general capabilities across modalities while also demonstrating strong performance in each domain. The models underwent large-scale pre-training as well as post-training to improve quality, enhance capabilities, and help alignment to meet model safety criteria.

AsA natively multimodal modelfamily of models, unlike other models that involve combining separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Google describes Gemini's capabilities as having "the potential to transform any type of input into any type of output." Examples of Gemini use cases include generating both text and images, as well as combined outputs, coding, summarization, processing and analyzing raw audio, explaining reasoning in complex fields such as maths and physics, and understanding user intent to create bespoke experiences interacting with the models.

Google states that Gemini was built to be natively multimodal. Unlike other models that involve combining separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Performance testing provided by Google states that Gemini Ultra's performance exceeds other cutting-edge models on thirty of the thirty-two widely used academic benchmarks used in large language model (LLM) research and development. The company also states Gemini is the first model to outperform human experts on Massive Multitask Language Understanding (MMLU).

On February 15, 2024, Google announced the next generation of Gemini called Gemini 1.5. The first model released in limited preview is Gemini 1.5 Pro, a mid-size multimodal model for a wide range of tasks with a standard context window. Upon launch, 1.5 Pro was available in 38 languages across 180+ countries and territories. 1.5 Pro comes with a 128,000 context window with a limited group of developers able to test a 1 million token context window during a private preview available through AI Studio and Vertex AI. Google states Gemini 1.5 shows significant improvements across a range of dimensions, with 1.5 Pro demonstrating comparable performance to 1.0 Ultra while using less compute.

Gemini 1.5 incorporates a new Mixture-of-Experts (MoE) architecture that Google states makes it more efficient to train and serve. MoE models are divided into smaller neural networks, which are selectively activated depending on the type of input. The company says Gemini 1.5's larger context windows enable the models to process 1 hour of video hours of audio, codebases with over 30,000 lines of code or over 700,000 words, with testing underway to increase the context window up to 10 million tokens. 1.5 Pro outperforms 1.0 Pro on 87% of benchmarks, demonstrating a similar level as 1.0 Ultra. This performance is maintained even as the context window increases.

On February 8, 2024, Google announced that Bard was rebranding to Gemini, becoming part of the company's multimodal family of models, and Gemini Ultra 1.0 was being released. The Gemini chatbot (formerly Bard) became available in 40 languages via a web app, the Gemini app on Android, and the Google app on iOS. The most advanced version of the chatbot running on Ultra is called Gemini Advanced and can be accessed via a Google One AI premium plan. Google also announced Gemini models were coming to a range of other producesproducts including Workspace and Google Cloud. Additionally, Android app users can set Gemini as their default assistant, replacing Google Assistant, and switch from Search to Gemini on the Google App on iOS.

On February 15, 2024, Google announced cloud customers can access Gemini 1.0 Ultra using the Gemini API in AI Studio and Vertex AI, and the next generation of its multimodal AI models Gemini 1.5. The company states that Gemini 1.5 demonstrates improvements across a number of dimensions compared to 1.0 Ultra while using less compute thanks to a new MoE architecture. The first model released in limited preview for testing is Gemini 1.5 Pro, a mid-size multimodal model that performs at a similar level to 1.0 Ultra. 1.5 Pro has a standard 128,000 token context window with plans to introduce pricing tiers that scale up to a 1 million token window. Developers and enterprise customers access 1.5 Pro via AI Studio and Vertex AI. Early testers were also given access to try the 1 million context window at no cost during the testing period.

Gemini is a multimodal artificial intelligence (AI) model developed by Google DeepMind. Described as Google's "most capable and general model," the initial version of the model (Gemini 1.0) is available in three sizes:

Gemini is a family of multimodal AI models developed at Google that have been trained jointly across image, audio, video, and text data. Gemini models were designed with the goal of having general capabilities across modalities while also demonstrating strong performance in each domain. The models underwent large-scale pre-training as well as post-training to improve quality, enhance capabilities, and help alignment to meet model safety criteria.

As multimodal model, Google describes Gemini's capabilities as having "the potential to transform any type of input into any type of output." Examples of Gemini use cases include generating both text and images, as well as combined outputs, coding, summarization, processing and analyzing raw audio, explaining reasoning in complex fields such as maths and physics, and understanding user intent to create bespoke experiences interacting with the models.

Google launched Gemini on December 6, 2023, with the first version (Gemini 1.0) including three model sizes:

Google states that Gemini was built to be natively multimodal. Unlike other models that involve stitching together separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Performance testing provided by Google states that Gemini Ultra's performance exceeds other cutting-edge models on thirty of the thirty-two widely used academic benchmarks used in large language model (LLM) research and development. The company also states Gemini is the first model to outperform human experts on Massive Multitask Language Understanding (MMLU).

Gemini launch video from Google.

Google announced Gemini on December 6, 2023. DeepMind developed the model collaborating with other teams across Google, including Google Research. Gemini was designed to be multimodal from the start, understanding and combining different forms of data, including text, code, audio, image, and video.

Gemini Pro & Nano were made available from launch, with Google stating Gemini Ultra was in the process of "extensive trust and safety checks." At launch, Google announced Gemini would be powering Bard, its conversational chatbot, launched in February 2023. In February 2024, Google announced Bard was rebranding as "Gemini" becoming a part of the company's multimodal family of models. The chatbot, available in 40 languages, is available on the web, through a dedicated Android app, and on the Google app on iOS. Also in February 2024, Google launched Gemini Ultra 1.0 its largest model and the first to outperform human experts on MMLU (massive multitask language understanding) benchmarks. The version of Google's chatbot powered by Ultra is called Gemini Advanced, available by subscribing to Google's One AI premium plan that also offers expanded storage and exclusive product features. The Google One AI Premium plan is priced at $20 a month.

Google is rolling out a number of products powered by Gemini. From December 6, 2023, Bard will run on a version of Gemini Pro fine-tuned for advanced reasoning, planning, understanding, and more. The new Gemini-powered Bard will initially be available in English in more than 170 countries and territories, with Google planning to expand to different modalities and support new languages. The Google Pixel 8 Pro has been engineered to run Gemini Nano locally to power features such as Summarize in the Recorder app and Smart Reply in Gboard.

Google states that Gemini was built to be natively multimodal. Unlike other models that involve combining separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Performance testing provided by Google states that Gemini Ultra's performance exceeds other cutting-edge models on thirty of the thirty-two widely used academic benchmarks used in large language model (LLM) research and development. The company also states Gemini is the first model to outperform human experts on Massive Multitask Language Understanding (MMLU).

Gemini models can be divided into two post-trained family variants:

1. Chat-focused variants referred to as Gemini App models, optimized for Gemini and Gemini Advanced, including the chatbot formerly known as Bard.
2. Developer-focused variants, referred to as Gemini API models, optimized for a range of products and accessible through Google AI Studio and Cloud Vertex AI.

Google announced Gemini on December 6, 2023. DeepMind developed the model collaborating with other teams across Google, including Google Research. After its launch, Google began rolling out a number of products powered by Gemini. This included the company's chatbot Bard, which ran on a version of Gemini Pro fine-tuned for advanced reasoning, planning, understanding, and more. The new Gemini-powered Bard was initially available in English in more than 170 countries and territories, with Google planning to expand to different modalities and support new languages. The Google Pixel 8 Pro was engineered for running Gemini Nano locally to power features such as Summarize in the Recorder app and Smart Reply in Gboard.

Upon the announcement of Gemini, Google stated the model willwould be made available in services like Search, Ads, Chrome, and Duet AI. From December 13, 2023, developers and enterprise customers havewere given access to Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. At launch, Google also stated Gemini Ultra is still being tested for safety and will roll out to developers and enterprise customers in early 2024. This includes Bard Advanced running on Gemini Ultra.

On February 8, 2024, Google announced that Bard was rebranding to Gemini, becoming part of the company's multimodal family of models, and Gemini Ultra 1.0 was being released. The Gemini chatbot (formerly Bard) became available in 40 languages via a web app, the Gemini app on Android, and the Google app on iOS. The most advanced version of the chatbot running on Ultra is called Gemini Advanced and can be accessed via a Google One AI premium plan. Google also announced Gemini models were coming to a range of other produces including Workspace and Google Cloud. Additionally, Android app users can set Gemini as their default assistant, replacing Google Assistant, and switch from Search to Gemini on the Google App on iOS.

Gemini is a multimodal artificial intelligence (AIAI) model developed by Google DeepMindGoogle DeepMind. Described as Google's "most capable and general model," the initial version of the model (Gemini 1.0) is available in three sizes:

• Gemini Ultra—the largest and most capable model for highly complex tasks.
• Gemini Pro—the best model for scaling across a wide range of tasks.
• Gemini Nano—the most efficient model for on-device tasks.

Google states that Gemini was built to be natively multimodal. Unlike other models that involve stitching together separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Performance testing provided by Google states that Gemini Ultra's performance exceeds other cutting-edge models on 30thirty of the 32thirty-two widely-usedwidely used academic benchmarks used in large language model (LLM)large language model (LLM) research and development. The company also states Gemini is the first model to outperform human experts on Massive Multitask Language Understanding (MMLU (Massive Multitask Language Understanding).

Google announced Gemini on December 6, 2023. DeepMind developed the model collaborating with other teams across Google, including Google Research. Gemini was designed to be multimodal from the start, understanding and combining different forms of data, including text, code, audio, image, and video.

Google is rolling out a number of products powered by Gemini. From December 6, 202232023, BardBard will run on a version of Gemini Pro fine-tuned for advanced reasoning, planning, understanding, and more. The new Gemini-powered Bard will initially be available in English in more than 170 countries and territories, with Google planning to expand to different modalities and support new languages. The Google Pixel 8 Pro has been engineered to run Gemini Nano locally to power features such as Summarize in the Recorder app and Smart Reply in Gboard.

Gemini is a multimodal AI model developed by Google DeepMind. Described as Google's "most capable and general model," the initial version of the model (Gemini 1.0) is available in three sizes:

• Gemini Ultra—the largest and most capable model for highly complex tasks.
• Gemini Pro—the best model for scaling across a wide range of tasks.
• Gemini Nano—the most efficient model for on-device tasks.

Google states that Gemini was built to be natively multimodal. Unlike other models that involve stitching together separate components for different modalities, Gemini was pre-trained from the start for different modalities. This results in enhanced capabilities including sophisticated reasoning, advanced coding, and understanding text, images, audio, and more. Performance testing provided by Google states that Gemini Ultra's performance exceeds other cutting-edge models on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development. The company also states Gemini is the first model to outperform human experts on MMLU (Massive Multitask Language Understanding).

Google announced Gemini on December 6, 2023. DeepMind developed the model collaborating with other teams across Google, including Google Research. Gemini was designed to be multimodal from the start understanding and combining different forms of data including text, code, audio, image, and video.

Google is rolling out a number of products powered by Gemini. From December 6, 20223, Bard will run on a version of Gemini Pro fine-tuned for advanced reasoning, planning, understanding, and more. The new Gemini-powered Bard will initially be available in English in more than 170 countries and territories, with Google planning to expand to different modalities and support new languages. The Google Pixel 8 Pro has been engineered to run Gemini Nano locally to power features such as Summarize in the Recorder app and Smart Reply in Gboard.

Upon the announcement of Gemini, Google stated the model will be made available in services like Search, Ads, Chrome, and Duet AI. From December 13, 2023, developers and enterprise customers have access to Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Google stated Gemini Ultra is still being tested for safety and will roll out to developers and enterprise customers in early 2024. This includes Bard Advanced running on Gemini Ultra.