AI Notes
Welcome to my AI Notes section! Here I share insights, tutorials, and research notes on various aspects of artificial intelligence and machine learning. This collection is organized into four main areas:
Categories
ML Infrastructure
Explore MLOps, deployment strategies, monitoring, and infrastructure management for production machine learning systems. Learn about Docker, Kubernetes, and other tools essential for scaling ML applications.
Scaling Performance of DL Systems
Explore fundamental concepts in deep learning, computational requirements, hardware considerations, and strategies for scaling deep learning models across multiple GPUs and systems.
LLMs and RAGs
Dive into Large Language Models, Retrieval-Augmented Generation, and their applications in modern AI systems. Learn about hosting LLMs locally and building RAG applications.
Agentic AI
Explore autonomous AI agents, multi-agent systems, and the future of intelligent systems that can reason and act independently. Learn about frameworks like AutoGen, LangGraph, and Crew AI.
This section is continuously updated with new insights and research findings. Each subsection contains detailed blog posts and tutorials that I’ve written based on my research and practical experience in the field.