Resources

Course Resources

This page provides links to useful resources, tools, and references for the Agentic LLM course.

Development Tools and Frameworks

LLM APIs and Platforms

OpenAI API - GPT-4 and other models
Anthropic Claude - Claude 3 models
Google AI Studio - Gemini models
Hugging Face - Open-source models and tools

Agent Frameworks

LangChain - Framework for LLM applications
AutoGen - Multi-agent conversation framework
CrewAI - Platform for orchestrating role-playing AI agents
Semantic Kernel - Microsoft’s SDK for LLM integration

Vector Databases

Pinecone - Managed vector database
Weaviate - Open-source vector search engine
Chroma - AI-native embedding database
FAISS - Facebook AI Similarity Search

Development Environments

Python - Primary programming language for the course
Jupyter Notebooks - Interactive development environment
Google Colab - Free cloud-based notebooks
Visual Studio Code - Recommended code editor

Learning Materials

Foundational Papers

Transformers and LLMs:

Vaswani et al. (2017) - Attention Is All You Need
Brown et al. (2020) - Language Models are Few-Shot Learners (GPT-3)
OpenAI (2023) - GPT-4 Technical Report

Prompt Engineering:

Wei et al. (2022) - Chain-of-Thought Prompting
Kojima et al. (2022) - Zero-shot CoT
Yao et al. (2023) - Tree of Thoughts

AI Agents:

Yao et al. (2023) - ReAct: Reasoning and Acting
Shinn et al. (2023) - Reflexion
Park et al. (2023) - Generative Agents

Retrieval-Augmented Generation:

Lewis et al. (2020) - RAG: Retrieval-Augmented Generation

Online Courses and Tutorials

Books and Documentation

OpenAI Cookbook - Best practices for GPT
Anthropic’s Guide to Prompt Engineering
Python Documentation

Datasets and Benchmarks

Agent Evaluation Benchmarks

AgentBench - Benchmark for LLM-as-Agent
ToolBench - Tool-learning benchmark
WebArena - Web agent benchmark

General LLM Datasets

MMLU - Massive Multitask Language Understanding
HumanEval - Code generation benchmark
GSM8K - Math word problems

Community and Support

Discussion Forums

Conferences and Workshops

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

Research Groups and Labs

Additional Tools

Code Libraries

transformers - Hugging Face transformers
tiktoken - Token counting for OpenAI models
openai-python - OpenAI Python library
chromadb - Embedding database

Monitoring and Evaluation

LangSmith - LLM application monitoring
Weights & Biases - Experiment tracking
MLflow - ML lifecycle management

Visualization

Graphviz - Graph visualization
Matplotlib - Python plotting library
Plotly - Interactive visualizations

Getting Help

If you need assistance with the course:

Office Hours: Check the course schedule for instructor availability
Course Forum: Post questions on the course discussion board
Email: Contact the instructor for private matters
Study Groups: Form study groups with fellow students
LIACS Support: Visit LIACS for technical assistance

Contributing

Have a resource to suggest? Please let us know! Send your recommendations to the course instructor.

This page is regularly updated. Last update: February 2026