AI Engineering & RAG - The document discusses building a unified query engine over data spread across several sources using vector DB and RAG (Retrieval-Augmented Generation) [1] - It presents a scenario of an AI engineer interview at Google, focusing on querying data from sources like Gmail and Drive [1] - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs [1]

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Open-Source Platform - Sim is presented as a 100% open-source alternative to n8n for building and deploying Agentic workflows [1] - Sim is a drag-and-drop platform [1] Application and Functionality - The platform was used to build a finance assistance app and connected to Telegram [2] - The workflow is simple and runs 100% locally [2] - It works with any local LLM [2]

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LLM Evaluation Tools - DeepEval transforms LLM evaluations into a two-line test suite [1] - DeepEval helps identify the best models, prompts, and architecture for AI workflows, including MCPs (Multi-Choice Preference) [1] - DeepEval is 100% open-source with 11 thousand stars [1] Framework Compatibility - DeepEval works with all frameworks like LlamaIndex, CrewAI, etc [1] Community Engagement - The author encourages readers to reshare the information [1] - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) daily [1]

That's a wrap!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.AAvi Chawla (@_avichawla):Researchers from AssemblyAI built a state-of-the-art model that:- transcribes speech across 99 languages.- works even if the audio has many speakers.- outperforms Deepgram and OpenAI models.And much more.(2-step setup below) https://t.co/7eg0zpE4pM ...

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. ...

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):I've been coding in Python for 9 years now.If I were to start over today, here's a complete roadmap: ...

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):Let's build a multi-agent brand monitoring system (100% local): ...

That's a wrap!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):3 expert ways to use GROUP BY in SQL, clearly explained (with code): ...