9 real-world MCP projects for AI engineers that cover:- RAG- Memory- MCP client- Voice Agent- Agentic RAG- and much more!Find them in the explainer thread below. https://t.co/y4IAYWh54MAvi 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):A great tool to estimate how much VRAM your LLMs actually need.Alter the hardware config, quantization, etc., and get to know about:- Generation speed (tokens/sec)- Precise memory allocation- System throughput, etc.No more VRAM guessing! https://t.co/lZbIink12f ...

Try it here → https://t.co/cnIXhrJliZ ...

A great tool to estimate how much VRAM your LLMs actually need.Alter the hardware config, quantization, etc., and get to know about:- Generation speed (tokens/sec)- Precise memory allocation- System throughput, etc.No more VRAM guessing! https://t.co/lZbIink12f ...

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): ...

9️⃣ MCP-powered deep researcherChatGPT has a deep research feature. It helps you get detailed insights on any topic. Learn how you can build a 100% local alternative to it.Repo link → https://t.co/2IyMy6C63THere's the workflow 👇 https://t.co/DtjA3h3SjF ...

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 ...

You can integrate LangWatch evaluations into CI/CD workflows so every model update is automatically checked before deployment.GitHub repo → https://t.co/Tx3oJoPEFG(don't forget to star it ⭐️) ...

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 ...