Google launches Gemini 1.5 for developers and enterprise users, with a context window of up to 1M tokens, and says Gemini 1.5 Pro is on par with Gemini Ultra
but you won't be able to enjoy it just yet Ryan Morrison / Tom's Guide : I test AI for a living and Google's Gemini Pro 1.5 is a true turning point Shaurya Tomer / Hindustan Times : Google DeepMind announces Gemini 1.5: 5 things to know about its latest LLM Ben's Bites : Gemini Pro 1.5 from Google has a 10M content window. Sarvesh Mathi / MediaNama : Explained: What does it mean for Google Gemini to have a 1 million token context window? Ryan Daws / AI News : Google launches Gemini 1.5 with ‘experimental’ 1M token context Sebastian Pier / PhoneArena : Apple readies AI tool to help you code iOS apps, while Google presents turbocharged Gemini 1.5 Deva Priya / Analytics Insight : Google's Gemini 1.5 AI Model Outperforms Its Predecessor Chinmay Dhumal / MySmartPrice : Google Unveils Gemini 1.5, Next-Gen AI Model; Gemini App Rolls Out to India Furqan Shahid / Wccftech : Gemini 1.5 Goes Official, Has A Better And More Expansive Context Window, Comparable Performance To Gemini 1.0 Ultra Luke Jones / WinBuzzer : Google's Next-Gen AI, Gemini 1.5, Arrives With Unprecedented Capabilities Aditya Rasik / Gizchina : Google Introduces Gemini 1.5 with Efficient architecture, Long context window, Enhanced performance, and more Harsh Shivam New Delhi / Business Standard : Gemini 1.5: Google announces next-gen AI model with new architecture design Kyle Wiggers / TechCrunch : Google's new Gemini model can analyze an hour-long video — but few people can use it Benj Edwards / Ars Technica : Google upstages itself with Gemini 1.5 AI launch, one week after Ultra 1.0 Will Knight / Wired : Google's Flagship AI Model Gets a Mighty Fast Upgrade Larry Dignan / Constellation Research : Google Cloud rolls out Gemini models to Vertex AI customers, Gemini 1.5 in private preview Kyt Dotson / SiliconANGLE : Google announces Gemini 1.5 for developers to experiment on Threads: @eshumarneedi : Gemini Nano Gemini Pro 1.0 Gemini Ultra 1.0 Gemini Pro 1.5 Gemini Advanced 1.0 Google One AI Premium Search Generative Experience Never change, Google. One million-token context windows won't change the fact that Gemini still says 1,000 pounds of feathers weigh less than 1,000 pounds of bricks. Charles Givens / @charlesgivens : Critics: Google doesn't have a cohesive vision! Also critics: Google's cohesive vision is too much! In a grouping, it is hard to differentiate the apps; that's the biggest and most obvious design error. However, every time you see any of these icons by itself, you KNOW it's a Google product. … Casey Newton / @crumbler : Google has released a new AI model that is on par with its other new AI model. Please don't ask what these models are or why they came out simultaneously. It's none of our business! https://www.theverge.com/... @georgescriban : Google's messaging/chat strategy: Jesus, I'm an incomprehensible mess! Google's AI strategy: Hold my beer... Mastodon: Dare Obasanjo / @carnage4life@mas.to : It's kinda nuts that Google's AI announcements are about almost catching up to OpenAI models from last year while OpenAI is announcing groundbreaking new AI products during the same week. — I'd love to watch a Netflix documentary about what's happened to Google. X: Jeff Dean / @jeffdean : 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... [image] @drjimfan : Gemini-1.5 Pro has its spotlight stolen today, and people are poking fun at Sora vs Google memes. Well, I think it's the biggest boost in LLM capability so far in 2024. v1.5's 10M token context (1) excels at retrieval; (2) generalizes zero-shot to extremely long instructions like full tutorials and codebases; and (3) works across modalities such as text, audio, and video... @googledeepmind : Gemini 1.5 Pro can consistently run up to 1 million tokens in production, equivalent to: 🔠 Over 700,000 words 🛠 Over 30,000 lines of code 🔊 11 hours of audio 📹 1 hour of video We've also successfully tested up to 10 million tokens in our research. https://blog.google/... [image] Jeff Dean / @jeffdean : Needle in a Haystack Tests Out to 10M Tokens First, let's take a quick glance at a needle-in-a-haystack test across many different modalities to exercise Gemini 1.5 Pro's ability to retrieve information from its very long context. In these tests, green is good, and red is not good, and these are almost entirely green (>99.7% recall), even out to 10M tokens. Great! A bit more on needle-in-a-haystack tests later in the thread. Sundar Pichai / @sundarpichai : In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 This next-gen model uses a Mixture-of-Experts (MoE) approach for more efficient training & higher-quality responses. Gemini 1.5 Pro, our mid-sized model, will soon come standard with a... [video] Andrew Curran / @andrewcurran_ : Amazing. https://twitter.com/... [image] Andrew Curran / @andrewcurran_ : Gemini 1.5 is capable of a 10 million token context window! Amazing! We are escalating. They will introduce 1.5 Pro with a 128k context window. Then plan to introduce pricing tiers that start at the standard 128k context window and scale up to 1 million tokens. [image] Min Choi / @minchoi : 🚨BREAKING: Google Gemini 1.5 just destroyed ChatGPT and Claude with biggest ever 1 Million tokens. It can now understand 4+ Harry Potter books, several GitHub code repository, entire podcast, and 1-hour video🤯 Here's 3 examples of what that means: 🧵👇 [video] Jack Rae / @drjwrae : We are announcing the Gemini 1.5 series of models today! * Support for 1M context lengths (tested up to 10M) * Gemini 1.5 Pro nears Gemini 1.0 Ultra performance with greater efficiency * Cloud users can sign up to waitlist for preview https://blog.google/... Lior / @alphasignalai : JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested... [video] @googledevs : ✨ Introducing Gemini 1.5: Our next-generation model with a context window of 1M tokens. ➡️ https://goo.gle/... Explore the latest Gemini models, including Gemini 1.5 Pro, in Google AI Studio. #BuildWithGemini [image] Kyle Russell / @kylebrussell : one million tokens [image] Jarrod Kahn / @kahnvex : I've spent some time with this model as my daily driver and it is incredible. Insanely long context that actually works. Multimodal capabilities are just as incredible. 10/10 and this is just Gemini 1.5 Pro. It's good to be back. Yifei Hu / @hu_yifei : Gemini 1.5 Pro benchmark scores from the technical report (column from left to right: Gemini Pro, Gemini Ultra, Gemini 1.5 Pro). It's almost as capable as the current Gemini Ultra model!? [image] @googledeepmind : Through a series of machine learning innovations, Gemini 1.5 Pro now has the longest context window of any large-scale foundation model yet. The bigger the context window, the more information it can take in from a prompt — making its output more consistent, relevant and useful. [image] Zoubin Ghahramani / @zoubinghahrama1 : Gemini 1.5 is here! ..with enhanced capabilities and the longest context window of any large-scale model yet. Marie Haynes / @marie_haynes : A new Gemini Model - Gemini 1.5 Pro. “Dramatically enhanced performance” -uses a new Mixture of Experts architecture <===something I want to learn more on! -performs at a similar level to 1.0 Ultra -runs up to 1 million tokens - longest context window of any larege scale... Laurent Picard / @picardparis : Exciting update to the LLM Gemini family: Gemini 1.5 Pro has a context window of... 1 million tokens! It can process: - 1 hour of video, - 11 hours of audio, - codebases with over 30,000 lines of code, - or over 700,000 words. Greg Kamradt / @gregkamradt : wow this is so cool needle in a haystack (or “NIAH” as the cool people call it I guess) mentioned by google on the Gemini 1.5 story Demis Hassabis / @demishassabis : In December we began the Gemini Era, and we've continued to make relentless progress since. Today we're thrilled to introduce the next generation: Gemini 1.5 - hugely enhanced performance, highly efficient architecture & long-context length breakthrough https://blog.google/... [image] Oriol Vinyals / @oriolvinyalsml : To show what's possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That's not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code in one go and correctly answer questions about it: @googledeepmind : Introducing Gemini 1.5: our next-generation model with dramatically enhanced performance. It also achieves a breakthrough in long-context understanding. The first release is 1.5 Pro, capable of processing up to 1 million tokens of information. 🧵 https://blog.google/... [image] @google : Today we're introducing Gemini 1.5, our next-generation AI model. It shows dramatically enhanced performance, including long-context understanding across modalities, which opens up new possibilities for people to create and build with AI → https://blog.google/... #GeminiAI [image] LinkedIn: Ajit Monteiro : Google just released the next version of their LLM, Gemini 1.5. What's particularly interesting is that it has a massive context window of 1 million tokens. … Samuel Otero Schmidt : Amazing news regarding Gemini 1.5: — Gemini 1.5 Pro comes with a standard 128,000 token context window. … Ranbir Mazumdar : In December, we launched Gemini 1.0 Pro. Today, we're introducing Gemini 1.5 Pro! 🚀 our next-gen LLM with breakthrough long context understanding and a new Mixture-of-Experts architecture. … Will Grannis : Gemini 1.5, our newest multimodal, mixture of experts GenerativeAI model, is live! An important nuance is that while many have been espousing a singular model … Julia Wiesinger : Gemini 1.5 live today performing at similar levels to our original Gemini Ultra. It comes with a standard 128,000 token context window … Paige Bailey : 🚀 The possibilities feel endless when you can pull in an entire repo - or an entire codebase! - into your model's context window. … Wenming Ye : Our latest model, and more to come. — This new generation of models delivers a breakthrough in long-context understanding. … Elaine Stephens : Wow! It is hard to believe that it was just about a year ago when the world of GenAI got launched. … Adrien Laurent : Everyone thought Google was lagging in the large language model (LLM) game, but they surprised us today by updating Gemini with a 1 million token context window. … Dex Hunter-Torricke : An amazing day at Google as we unveiled Gemini 1.5, the newest state of the art AI model from Google DeepMind! … Forums: r/mlscaling : Our next-generation model: Gemini 1.5 r/OpenAI : Google introduced Gemini 1.5 r/Bard : Our next-generation model: Gemini 1.5 r/singularity : Our next-generation model: Gemini 1.5