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):9 MCP projects for AI engineers (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):Trace and evaluate any AI/LLM app in 3 lines of code!- Initialize an eval with LangWatch (line 3)- Decorate the LLM workflow method (line 5)- Log the evaluation (line 11)You can keep using Pandas and your other favorite tools.100% open-source! https://t.co/J7dxnMmKdC ...

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):Train AI models on data that does not even exist!SDV is an open-source framework that uses ML to learn patterns from your real data and generate tabular synthetic data at scale.Supports built-in anonymization, validation, and more. https://t.co/KyTZsaILvh ...