7 LLM generation parameters, explained visually: https://t.co/UN0FRu5hytAvi Chawla (@_avichawla):7 LLM generation parameters, clearly explained (with visuals): ...

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):7 LLM generation parameters, clearly explained (with visuals): ...

Those were the 7 most important LLM generation parameters.Here's the visual again for your reference 👇 https://t.co/Kd6k501y1t ...

7 LLM generation parameters, clearly explained (with visuals): ...

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):Function calling & MCP for LLMs, clearly explained (with visuals): ...

To sum up:- Tool Calling helps an LLM decide what to do.- MCP is an infrastructure that ensures tools are reliably available, discoverable, and executable.So, a Tool Calling request can be routed through MCP.Here's the visual again for your reference 👇 https://t.co/geB5I6KbqL ...

Function calling & MCP for LLMs, clearly explained (with visuals): ...

RT Avi Chawla (@_avichawla)Finally, a production-ready backend for Agents that actually works!xpander is a plug-and-play backend for Agents that manages memory, tools, states, version control, guardrails, and more.Works with any framework, like CrewAI, Agno, Langchain, etc.Fully self-hostable! https://t.co/Vz2Hh2tGxi ...

Agent Backend - xpander is a production-ready backend for Agents managing memory, tools, states, version control, and guardrails [1] - xpander is a plug-and-play solution [1] - xpander is fully self-hostable [1] Framework Compatibility - xpander works with any framework, including CrewAI, Agno, and Langchain [1] Key Features - xpander manages memory, tools, states, version control, and guardrails [1]

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