RT Avi Chawla (@_avichawla)Check this!! You can now raise PRs by just writing English prompts.I integrated the @codegen coding agent with Slack and asked it to build a video RAG app.5 minutes later, it raised a PR with fully working code.Completely hands-off! https://t.co/bcQFp6yBDJ ...

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.Avi Chawla (@_avichawla):Check this!! You can now raise PRs by just writing English prompts.I integrated the @codegen coding agent with Slack and asked it to build a video RAG app.5 minutes later, it raised a PR with fully working code.Completely hands-off! https://t.co/bcQFp6yBDJ ...

Technology Stack - Codegen is used as the coding agent, powered by Claude 4 [1] - Google DeepMind Gemini 1.5 serves as the LLM for video RAG [1] - Streamlit is utilized as the UI [1]

Check this!! You can now raise PRs by just writing English prompts.I integrated the @codegen coding agent with Slack and asked it to build a video RAG app.5 minutes later, it raised a PR with fully working code.Completely hands-off! https://t.co/bcQFp6yBDJ ...

AI Engineering Career Development - Identifies 10 GitHub repositories for building a career in AI engineering [1] - Highlights a 100% free roadmap for AI engineering [1] Key Areas in AI/ML - Covers basics of AI/ML [1] - Includes neural networks [1] - Focuses on research paper implementations [1] - Addresses MLOps [1] - Encompasses LLMs/RAG/Agents [1]

General Information - This document is a recommendation to reshare insightful content related to Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval Augmented Generation (RAGs) [1] - The document highlights 10 free GitHub repositories that can help individuals prepare for a career in AI engineering [1] Resources - The author, Avi Chawla (@_avichawla), shares tutorials and insights on DS, ML, LLMs, and RAGs daily [1]

AI Engineering Roadmap - The roadmap emphasizes the progression towards Large Language Models (LLMs), Natural Language Processing (NLP), and AI agents [2] - The roadmap suggests exploring Computer Vision (CV) and Reinforcement Learning (RL) as equally valuable paths for AI engineers [2] Resources for AI Development - The roadmap provides links to resources for Machine Learning (ML) and AI beginners [3] - The roadmap includes resources for hands-on experience with LLMs and advanced Retrieval Augmented Generation (RAG) techniques [3] - The roadmap offers resources for building AI agents, from beginner level to production-ready [3] - The roadmap links to a hub for AI engineering resources [3]

10 GitHub repos that will set you up for a career in AI engineering (100% free): ...

Finally! You can reliably test AI Agents without humans:- One Agent asks questions.- The Agent being tested responds.- Another Agent Judges.Here’s a complete breakdown (with code): https://t.co/wDm2a4zN0bAvi Chawla (@_avichawla):How Agents test Agents, clearly explained (with code): ...

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.Avi Chawla (@_avichawla):How Agents test Agents, clearly explained (with code): ...