Gemini API and Google AI Studio just got a major upgrade, and it's about to unleash a wave of creativity for AI developers! 🌊 🧠 🤯 2 MILLION TOKEN CONTEXT WINDOW FOR EVERYONE: That's right, Gemini 1.5 Pro now handles up to 2 million tokens, letting you process massive amounts of data in a single prompt. Think: * Analyzing hours of video footage 🎬 * Digesting entire codebases 💻 * Summarizing mountains of documents 📑 Plus, there's more! * Gemini 1.5 Flash text tuning has started gradually rolling out - this model is ideal for chatbots, image analysis, and tackling long-form text. * Google AI Studio now supports code execution AND Gemma 2! The future of AI development just got brighter. ✨ Head over to Google AI Studio or the Gemini API to start building the next generation of incredible AI applications! #AI #GenerativeAI #Gemini #GoogleAI #Developers #Innovation
Great capabilities 1/ videos: get take aways from a class recordings 2/ docs: read through all policy , legal docs. or an highlights of T&Cs 3/code base: debug mandane in 3 mins
Great work. Gemini is my go-to for large context requests.
These are outstanding additions, on top of the Gemma 2 releases today as well! Very exciting times for tools that will help GenAI drive real value for organizations. Kudos!
This is huge 🚀
2 million tokens 🚀🚀🚀
Very promising! 🚀🚀🚀
Any word on functionality like Claude's artifacts?
Building the Future with AI | ex-Google | Engineering Coach
3wThis is great! The 2 million token context window is incredibly useful for including extensive contextual data. One area for improvement with Gemini is the setup process. Simplifying the integration by abstracting the concepts of GCP project, location, and account credentials would make it more developer-friendly. This would streamline the process and reduce the complexity for users, making it easier to get started.