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The Hitchhiker’s Guide to AI
LangChain & LangGraph
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the-hitchhikers-guide-to-ai
Getting started
Understanding LLMs
Prerequisites
FastAPI basics
Asynchronous programming
AI model serving
LangChain & LangGraph
AI agent development
The Hitchhiker’s Guide to AI
the-hitchhikers-guide-to-ai
Getting started
Getting started
About this guide
How to learn
For hitchhikers
Understanding LLMs
Understanding LLMs
Before you start
1. How computers learn
2. The invention of neural networks
3. The perceptron: a model that decides
4. Multilayer networks and backpropagation
5. Learning in high-dimensional spaces
6. Representing language as vectors
7. Language follows probabilistic patterns
8. Connecting context with transformers
9. Inside the transformer: the encoder
10. Inside the transformer: the decoder
11. Transformers in conversation
12. Giving instructions to LLMs
13. After pretraining
14. Modern LLMs
Conclusion
Prerequisites
Prerequisites
Before you start
Development environment
Development environment
Terminal
Basic terminal commands
VS Code
How the web works
How the web works
What is a web service?
The internet
The client-server model
HTTP
HTML
HTTP messages
URLs
HTTP methods
REST APIs
HTTP status codes
HTTPS
Networking
Networking
IP addresses and ports
DNS
Localhost
Python
Python
Installing Python
Python virtual environments
FastAPI basics
Asynchronous programming
AI model serving
LangChain & LangGraph
AI agent development
LangChain & LangGraph
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