Course: Gemini for Application Developers
Level: Introductory
Time: 1 hour 30 minutes
Syllabus: Using a hands-on lab, you will learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your apps.
Start module → goo.gle/4moBWEa
🚀With Code Interpreter + Web Search, Qwen Chat can now fetch data AND visualize it in charts — instantly.
Need a 7-day weather trend? Done. 🌡️📊
Try it now: chat.qwen.ai
You can now train OpenAI gpt-oss with Reinforcement Learning in our free notebook!
This notebook automatically creates faster kernels via RL.
Unsloth RL achieves the fastest inference & lowest VRAM vs. any setup - 0 accuracy loss
gpt-oss-20b GRPO Colab: colab.research.google.com/github/unsloth…
We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely…
Hey ambitious devs, this weekend you should expand your skills by building your own LLM from scratch with Python. 🐍
freeCodeCamp just dropped a 6-hour intermediate course on this. Here are this week's five freeCodeCamp resources that are worth your time:
1. freeCodeCamp just…
✨ Built for developers, powered for AI.
Meet the MSI EdgeXpert AI Supercomputer which redefines desktop AI computing, delivering petaflop-scale performance through the cutting-edge NVIDIA GB10 Grace Blackwell Superchip—the same powerhouse at the core of NVIDIA DGX Spark.…
Stop building UIs for your AI agents from scratch. The Agent Development Kit (ADK) now integrates with AG-UI to seamlessly connect your powerful agent backend to a rich, collaborative frontend. Get started with one command: goo.gle/3Wg7VeZ#AIAgents#ADK#GenAI…
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7K Followers 69 FollowingThe Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools.
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🧑💻 Hashnode for API Docs → https://t.co/b4a1eDyLzQ
📝 Hashnode for Blogs → https://t.co/QxrALKd9Xy
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Submit your own at https://t.co/QhbJKXBd4Q, and link models/datasets/demos to it!
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also:
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