Starred repositories
Building LLM-Enabled Multi Agent Applications from Scratch
Core 7 layers of production grade agentic system
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
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Updated Jun 20, 2025
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Model Context Protocol Servers
This repo consists of basic code snippets and examples for understanding the concepts behind engineering Agentic AI systems
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Jupyter Notebooks for Mastering LLM with Advanced RAG Course
A structured template for building robust generative AI applications
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs
Code and Slides
Repo to accompany my mastering LLM engineering course
An repository containing all the LLM notebooks with tutorial and projects
Learn AI and LLMs from scratch using free resources
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a m…
This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and impact of these models across various applications.
A comprehensive guide to building RAG-based LLM applications for production.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
Comprehensive guide to learn RAG from basics to advanced.
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
A curated List of Coding Questions Asked in FAANG Interviews
DeepSeek LLM: Let there be answers
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Awesome LLM Books: Curated list of books on Large Language Models
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Updated Jan 10, 2025
📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.