Additional Resources¶

A curated collection of resources to deepen your understanding of AI agents and continue your learning journey.

Papers and Research¶

Foundational Papers¶

• ReAct: Synergizing Reasoning and Acting in Language Models (2022)

• Introduces the ReAct pattern for interleaving reasoning and action

• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (2022)

• Demonstrates how to improve reasoning through step-by-step prompting

• Tree of Thoughts: Deliberate Problem Solving with Large Language Models (2023)

• Explores multiple reasoning paths for complex problem-solving

• Reflexion: Language Agents with Verbal Reinforcement Learning (2023)

• Self-reflection and learning from mistakes

Tool Use and Function Calling¶

• Toolformer: Language Models Can Teach Themselves to Use Tools (2023)

• How LLMs can learn to use external tools

• Gorilla: Large Language Model Connected with Massive APIs (2023)

• Training LLMs to use APIs effectively

Multi-Agent Systems¶

• Communicative Agents for Software Development (2023)

• ChatDev: Multi-agent collaboration for software engineering

• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation (2023)

• Microsoft's framework for multi-agent systems

Frameworks and Libraries¶

Agent Frameworks¶

• LangChain
• Comprehensive framework for building LLM applications
• Extensive tool ecosystem

• Documentation

• LlamaIndex

• Data framework for LLM applications
• Excellent for RAG implementations

• Documentation

• AutoGen

• Microsoft's multi-agent conversation framework
• Built-in code execution

• Documentation

• CrewAI

• Role-based multi-agent framework
• Simplified orchestration

• Documentation

• Semantic Kernel

• Microsoft's SDK for AI orchestration
• Enterprise-focused
• Documentation

Vector Databases¶

• Chroma - Open-source embedding database
• Pinecone - Managed vector database
• Weaviate - Open-source vector search engine
• Qdrant - Vector similarity search engine

LLM Providers¶

• OpenAI - GPT-4, GPT-3.5
• Anthropic - Claude models
• IBM watsonx.ai - Enterprise AI platform
• Ollama - Run LLMs locally
• Together AI - Open-source model hosting

Courses and Tutorials¶

Online Courses¶

• DeepLearning.AI - LangChain for LLM Application Development

• Short course on building with LangChain

• DeepLearning.AI - Building Systems with the ChatGPT API

• Practical guide to building with GPT

• Hugging Face - NLP Course

• Comprehensive NLP and transformer course

Video Resources¶

• Andrej Karpathy - State of GPT

• Overview of GPT capabilities and limitations

• LangChain YouTube Channel

• Tutorials and use cases

Books¶

• Building LLM Apps by Valentina Alto

• Practical guide to LLM application development

• Designing Machine Learning Systems by Chip Huyen

• ML systems design and best practices

Community and Forums¶

Discussion Forums¶

• LangChain Discord - Active community for LangChain users
• r/LocalLLaMA - Reddit community for local LLM enthusiasts
• Hugging Face Forums - ML and NLP discussions

GitHub Repositories¶

• Awesome LLM - Curated list of LLM resources
• Awesome AI Agents - Collection of AI agent resources
• LangChain Templates - Ready-to-use templates

Blogs and Articles¶

Technical Blogs¶

• OpenAI Blog - Latest from OpenAI
• Anthropic Blog - Claude and AI safety
• LangChain Blog - Framework updates and tutorials
• Hugging Face Blog - ML and NLP insights

Individual Blogs¶

• Lilian Weng's Blog - Deep dives into AI research
• Eugene Yan - Applied ML and LLMs
• Simon Willison - LLM experiments and tools

Tools and Utilities¶

Development Tools¶

• LangSmith - LLM application observability
• Weights & Biases - ML experiment tracking
• Helicone - LLM observability platform

Prompt Engineering¶

• PromptPerfect - Prompt optimization
• OpenAI Playground - Interactive prompt testing
• Anthropic Console - Claude prompt testing

Datasets¶

• Hugging Face Datasets - Large collection of datasets
• Papers with Code - Research datasets
• Kaggle Datasets - Community datasets

Conferences and Events¶

• NeurIPS - Neural Information Processing Systems
• ICML - International Conference on Machine Learning
• ACL - Association for Computational Linguistics
• ICLR - International Conference on Learning Representations

Stay Updated¶

Newsletters¶

• The Batch - DeepLearning.AI weekly newsletter
• Import AI - Jack Clark's AI newsletter
• TLDR AI - Daily AI news

Podcasts¶

• Latent Space - AI engineering podcast
• Practical AI - Making AI practical
• The TWIML AI Podcast - Machine learning and AI

Contributing¶

Know of a great resource that should be included? Please:

1. Open an issue on GitHub
2. Submit a pull request
3. Join the discussion forum

Related Workshop Pages¶

• Prerequisites - Setup instructions
• Lab 1 - Build your first agent
• Lab 2 - Add observability
• Lab 3 - Improve reliability
• Lab 4 - Secure agent data