learn-ai-engineering
Learn AI and LLMs from scratch using free resources
https://github.com/ashishps1/learn-ai-engineering
Last synced: 18 days ago
JSON representation
AI Agents
LLM Based IDEs
AI & ML Fundamentals
Machine Learning Frameworks
Books
LLM Frameworks
Tools
- Hands-On Machine Learning
- Why Machines Learn
- Deep Learning - Ian Goodfellow
- Designing Machine Learning Systems
- AI Engineering
- Build a Large Language Model (From Scratch)
- Prompt Engineering for LLMs
- Natural Language Processing with Transformers
- Deep Learning with Python
- Build a Multi-Agent System (from Scratch)
- Build a Reasoning Model (From Scratch)
- Build an AI Agent (From Scratch)
- Build an LLM Application (from Scratch)
- AI Agents in Action
- LLMs in Production
- AI Agents in Action, Second Edition
- Build an LLM Application (from Scratch)
Deep Learning
Deep Learning Frameworks
Machine Learning Frameworks
Deep Learning Specializations
Computer Vision
Natural Language Processing (NLP)
Reinforcement Learning
Experiment & Deployment
AI IDEs
Generative AI
Reinforcement Learning
Guides
Tools
Large Language Models (LLMs)
Agentic Coding Tools
LLM APIs
LLM Based IDEs
LLM Chatbots
LLM Tools & Frameworks
Open Source LLMs
Reinforcement Learning
- Large Language Models explained briefly
- LLM Course - GitHub
- Awesome LLM Apps - GitHub
- Understanding Large Language Models
- A Visual Guide to Reasoning LLMs
- Understanding Reasoning LLMs
- Understanding Multimodal LLMs
- A Visual Guide to Mixture of Experts (MoE)
- Finetuning Large Language Models
- How Transformer LLMs Work
- The Illustrated Transformer
- Building GPT from scratch - Andrej Karpathy
- LLM Course - Hugging Face
Mathematical Foundations
MLOps & Deployment
LLM Based IDEs
Tools
Model Context Protocol (MCP)
LLM Based IDEs
Must-Read AI Papers
Tools
- Attention Is All You Need
- Generative Adversarial Networks (GANs)
- GPT-3: Language Models are Few-Shot Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- GPT: Improving Language Understanding by Generative Pre-Training
- Chain-of-Thought Prompting Elicits Reasoning in LLMs