Part 2 of the “Accelerating Deep Learning on Modern CPUs” series Recap: Where We Left Off In Part 1, we walked through the evolution of matrix multiplication on CPUs — from a naive triple loop ...

Based on my talk at QCon San Francisco 2024 Watch the talk: Maximizing Deep Learning Performance on CPUs using Modern Architectures — includes slides, video, and full transcript. Introducti...

Retrieval Augmented Generation (RAG) is one of the most popular techniques to enhance the performance of Large Language Models (LLMs) models by injecting external data in the context. Like the name...

Disclaimer: This is not a tutorial, book, or a whitepaper. The content on this file are notes I scrambled while learning the Agentic systems. The major resourses I have relied on are Andrew Ng’s co...