We’re bringing more to Google One AI Premium by adding Gemini in Gmail, Docs, Slides & more — so you can get more done without tab hopping. From drafting a note in Gmail to writing an itinerary in Docs, Gemini can help. Coming to 150 countries in English.

Excited for Gemini to be available to Workspace customers! For people who use a Workspace domain, you can enable access to Ultra 1.0 for your accounts of all sizes. Looking forward to your feedback!

We are aware that Gemini is offering inaccuracies in some historical image generation depictions, and we are working to fix this immediately. As part of our AI principles https://t.co/BK786xbkey, we design our image generation capabilities to reflect our global user base, and we

Wow. Google just released Gemma, the most powerful open LLM yet. Open for commercial use, it outperforms Mistral AI 7B and LLaMa 2 on Human Eval and MMLU. It's the first open LLM based on Gemini. Details: - Comes in two flavors: 2B and 7B. - Beats Mistral 7B, DeciLM 7B and

We have a long history of supporting responsible open source & science, which can drive rapid research progress, so we’re proud to release Gemma: a set of lightweight open models, best-in-class for their size, inspired by the same tech used for Gemini https://t.co/0aVehuXila

👋 open models

Gemini has just received an update You can now execute and edit code in addition to generating it. Here's where to find these features and how to use them:

As we continue to improve the coding experience with Gemini Advanced, one thing we’ve heard is many people want to try to make a few mods + run it first to ensure it works exactly as they want before merging into their workflow. Give it a shot and let us know what you think!

The Gemini 1.5 Pro model guide is live! With support of up to 1 million tokens context length, you may be wondering what's possible with Gemini 1.5 Pro. My overall impression after our first round of testing is that Gemini 1.5 Pro is among the most powerful long context LLMs

This is very meta! @Sam_Witteveen uses Gemini 1.5 Pro to analyze and ask questions about the video content of a lecture I gave last week about ML trends, including some discussion of Gemini.

Gemini 1.5 Pro and its 1M tokens context length show huge potential! I have been experimenting with Gemini 1.5 Pro (inside Google AI Studio) and find that its reasoning ability over long-form content is quite good. I am particularly interested in LLMs that can retrieve and

Long-context reasoning at 10M scale is a colossal achievement but I don't think it renders RAG, which can operate over 100T tokens, obsolete. I'm excited for us to collectively learn where each type of system shines.

Been testing Gemini 1.5 pro and i'm really impressed so far Recall has been outstanding, and its really good at following instructions even with > 200k tokens. oh and agents just got a lot better. the only missing piece is really latency + cost

really want to design a way with ai to give people the feeling of what learning to code in middle school was like reading o’reilly books you can’t afford in the back of a borders… thinking about it deeply on the ride home… then hacking away to see if you figured it out some of

Gemini ( https://t.co/4axIwqpUYX) end of week update/recap: Blown away by all the people who have shared using Gemini to help them with things like iterating through a business strategy using their preferred framework, working through possible solutions to a gnarly coding

Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long

Gemini 1.5 has arrived. Pro 1.5 with 1M tokens available as an experimental feature via AI Studio and Vertex AI in private preview. Then there’s this: In our research, we tested Gemini 1.5 on up to 2M tokens for audio, 2.8M tokens for video, and 🤯10M 🤯 tokens for text. From

“This means 1.5 Pro can process vast amounts of information in one go — including 1 hour of video, 11 hours of audio, codebases with over 30,000 lines of code or over 700,000 words. In our research, we’ve also successfully tested up to 10 million tokens.” Thanks @demishassabis &

Gemini ( https://t.co/4axIwqpUYX) Wednesday update: 1) Refusal reduction: we eased refusals on many images with people in them. Gemini will extract the text and reason upon it. This will especially help on images with screenshots which mobile users are really putting to the

i ❤️ TPUs… so smooth