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):OpenAI meets MCP!Now you can add tools from any MCP server to your OpenAI LLM calls.Below, I integrated the @MindsDB MCP server, which lets you query 200+ data sources in plain English or SQL.Takes just 3-5 lines of code! https://t.co/uzbBEq61AD ...

Steps:- Initiate your OpenAI client.- In the response API, specify your MCP server as the tools parameter.- Specify your query in the input parameter.MindsDB GitHub repo: https://t.co/PaFtyjuULv(Don't forget to star 🌟) ...

OpenAI meets MCP!Now you can add tools from any MCP server to your OpenAI LLM calls.Below, I integrated the @MindsDB MCP server, which lets you query 200+ data sources in plain English or SQL.Takes just 3-5 lines of code! https://t.co/uzbBEq61AD ...

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 ...

GitHub repo: https://t.co/IWg2Hmy6y0(don't forget to star it ⭐️) ...

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 ...