GitHub repo: https://t.co/f9vvUucTne ...

The fastest serving engine for LLMs is here (open-source)!LMCache is an LLM serving engine designed to reduce time-to-first-token and increase throughput, especially under long-context scenarios.It boosts vLLM with 7x faster access to 100x more KV caches.100% open-source! https://t.co/IfyZzdnq4z ...

RT Avi Chawla (@_avichawla)How LLMs work, 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):How LLMs work, clearly explained (with visuals): ...

Let's take a code example!At low temperature, probabilities concentrate around the most likely token, resulting in nearly greedy generation.At high temperature, probabilities become more uniform, producing highly random and stochastic outputs.Check this out👇 https://t.co/ZPvXEbqhwT ...

How LLMs work, clearly explained (with visuals): ...

RT Avi Chawla (@_avichawla)Let's build a mini-ChatGPT app powered by DeepSeek-R1 (100% local): ...

Project Overview - The project involves building a mini-ChatGPT application [1] - The application is powered by DeepSeek-R1 and operates 100% locally [1] Resource Sharing - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) daily [1] - The author encourages readers to reshare the content with their network if they find it insightful [1]

Done!This launches our 100% locally running mini-ChatGPT that is powered by DeepSeek-R1.Check this demo 👇 https://t.co/CQ6mOAj8Rt ...

Let's build a mini-ChatGPT app powered by DeepSeek-R1 (100% local): ...