Untangling Artificial Intelligence!
LLMs, RAG and Agentic AI
In this article series, I explore the development, functionality, and optimization of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and AI agents, diving into their practical applications and real-world impact across diverse industries.
@shekhawatsamvardhan
Understanding CS229
This article series is based on understanding the mathematical aspects and working of machine learning and deep learning algorithms based on the course CS229 of Stanford university taken by the renowned British-American computer scientist Dr.Andrew Yan-Tak Ng and Dr. Tengyu Ma.
@shekhawatsamvardhan
LCMs and MCP
This article series explores Large Concept Models (LCMs) and Model Context Protocols (MCPs), delving into their transformative impact on enterprises. W
@shekhawatsamvardhan
Neural Networks
An article series aimed to simplify the mathematical aspects of neural networks, bridging theoretical concepts to practical implementation for a clearer understanding.
@shekhawatsamvardhan
