Google AI Developers
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AI for every developer. So what will you build?
🔔 Gemini 2.5 Flash-Lite is now stable and generally available. This model offers the lowest latency and cost in the Gemini 2.5 family, making it our fastest and most cost-efficient option for developers building production-ready AI applications.

🚀 Kaggle Benchmarks is here! Get competition-grade rigor for AI model evaluation. Let Kaggle handle infrastructure while you focus on AI breakthroughs. View model performance on 70+ leaderboards, including @AIatMeta's MultiLoKo. Dive in: kaggle.com/blog/announcin…
Build enterprise AI without the latency and cost of massive models. Learn how @AdaptiveML used Gemma 3 to create a multilingual customer service moderation LLM for @SKtelecom to support their 23M+ subscribers who speak a mix of English and Korean. deepmind.google/models/gemma/g…
Gemini 2.5 Flash-Lite is generally available today—unlocking a range of demanding, high-volume use cases. Check out how customers are using the model 🧵⬇️
Gemini Code Assist is getting major upgrades with Agent Mode and powerful IDE enhancements, allowing devs to build faster and with greater precision ⬇️
New agent mode and IDE enhancements in Code Assist! → goo.gle/3GSeO28 Agent mode: Analyzes full codebase to handle multi-file tasks from one prompt IDE Enhancements: Control context via .aiexclude, attach terminal output & enjoy a smoother UI
I cracked the code on how to generate the best Veo 3 video with Gemini API. Here are 10 video generate from a single short prompt, automatically improved with Gemini 2.5! No cherry-picks! 🤯🤯 The Secret? A Meta JSON Schema and let Gemini 2.5 generates high quality prompts with…
What’s next for Gemini CLI? Explore the public roadmap to find out ↓ github.com/google-gemini/…
Fine-tune Gemma3n on videos with audios inside with Colab A100 🔥 Just dropped the notebook where you can learn how to fine-tune Gemma3n on images+audio+text at the same time!
.@StanfordCRFM's Marin project has released the first fully open model in JAX. It’s an 'open lab' sharing the entire research process - including code, data, and logs, to enable reproducibility and further innovation. developers.googleblog.com/en/stanfords-m…