LLM Insights - Tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) are shared daily [1] - Temperature in LLMs is clearly explained with code [1] Engagement - The author encourages readers to reshare the content if they found it insightful [1]

Temperature Setting Best Practices - Low temperature values lead to predictable responses [1] - High temperature values result in more random and creative responses [1] - Extremely high temperature values rarely have practical use [1]

Temperature in LLMs, clearly explained (with code): ...

RT Avi Chawla (@_avichawla)There's a new way to build production-grade MCP servers.- It takes less than a minute.- You don't have to write any code.- You can integrate from 100k+ tools.Here's a step-by-step breakdown (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):There's a new way to build production-grade MCP servers.- It takes less than a minute.- You don't have to write any code.- You can integrate from 100k+ tools.Here's a step-by-step breakdown (100% local): ...

To recap, there are the steps:- Open Postman's MCP generator.- Select the APIs from Postman's API Network.- All these APIs will be available as tools in your MCP server.- Download the code provided by Postman.- Specify API keys if needed in the .env file.- Prepare your MCP config file JSON and add it to Claude/Cursor.Done!Thanks to @getpostman for working with me on this thread! ...

There's a new way to build production-grade MCP servers.- It takes less than a minute.- You don't have to write any code.- You can integrate from 100k+ tools.Here's a step-by-step breakdown (100% local): ...

RT Avi Chawla (@_avichawla)Deploy AI apps by just adding a Python decorator (open-source)!Beam is an open-source alternative to Modal for deploying serverless AI workloads.Simply uv add beam-client, add a decorator, and turn any workflow into a serverless endpoint! https://t.co/Km5bvV9xDM ...

AI Deployment Tools - Beam is presented as an open-source alternative to Modal for deploying serverless AI workloads [1] - Beam enables turning any workflow into a serverless endpoint by adding a Python decorator [1] Call to Action - The author encourages readers to reshare the content if they found it insightful [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]

Link to Beam GitHub repo: https://t.co/hWyKoY5lnC(don't forget to star it ⭐) ...