You're in a Research Scientist interview at OpenAI.The interviewer asks:"Our investors want us to contribute to open-source.o3 crushed benchmarks.But we can lose a competitive edge by open-sourcing it.What do we do?"You: "Release the research paper."Interview over.You forgot that LLMs don't just learn from raw text; they also learn from each other.For example:- Llama 4 Scout & Maverick were trained using Llama 4 Behemoth.- Gemma 2 and 3 were trained using Gemini.Distillation helps us do so, and the visual e ...

RT Avi Chawla (@_avichawla)11 plots that data scientists use 90% of the time: https://t.co/9f5RD23rkK ...

11 plots that data scientists use 90% of the time: https://t.co/9f5RD23rkK ...

RT Avi Chawla (@_avichawla)I just built my own multi-agent deep researcher!It uses a 100% local LLM and MCP.Here's an overview of how it works:- User submits a query- Web agent searches with Bright Data MCP tool- Research agents generate insights using platform-specific tools- Response agent crafts a coherent answer with citationsTech stack:- Bright Data MCP for real-time web access- CrewAI for multi-agent orchestration- Ollama to locally serve GPT-OSSWhy Bright Data MCP?To build this workflow, we needed to ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

GitHub repo: https://t.co/wObdNY4VUQ(don't forget to star it ⭐ ) ...

Technology Stack - The multi-agent deep researcher utilizes a 100% local LLM and MCP [1] - The system employs CrewAI for multi-agent orchestration and Ollama to locally serve GPT-OSS [2] Web Access Solution - Bright Data Web MCP is used to gather information from several sources, addressing issues like IP blocks and CAPTCHA blocks [1] - Bright Data MCP offers platform-specific tools compatible with major agent frameworks [2] - Bright Data MCP provides real-time web access [2] Workflow - The workflow involves a user submitting a query, followed by a web agent searching with the Bright Data MCP tool [2] - Research agents generate insights using platform-specific tools, and a response agent crafts a coherent answer with citations [2]

RT Avi Chawla (@_avichawla)4 strategies LLMs use to generate text: https://t.co/ouSe6oC3LT ...

4 strategies LLMs use to generate text: https://t.co/ouSe6oC3LT ...

RT Avi Chawla (@_avichawla)- Replit's Agent wiped out a production DB- Zillow lost $304M due to its home-buying AI- iTutor paid $365k when AI rejected old applicantsAI disasters like these can literally make you lose your job!Let's learn how to build Agents that don't fail in production (with code): https://t.co/MQZVsk1EPF ...