Tutorials 👩‍🏫

Generative AI

LangChain

• LangChain Agentic RAG
• LangChain Tools
• LangChain RAG

RAG

• DeepSeek Reasoning with RAG
• LlamaIndex RAG
• Graph RAG
• Evaluate RAG pipeline using Ragas in Python with watsonx
• Implement RAG chunking strategies with LangChain and watsonx.ai
• Multi-agent RAG with AutoGen: Build locally with Granite
• Build a corrective RAG agent using IBM Granite and Tavily
• Build a self RAG agent with IBM Granite LLMs

IBM Bob

• LLM Code Review using IBM Bob
• MCP Integration using IBM Bob
• AI documentation with IBM Bob

Granite

• Granite Speech 3.3
• Docling Granite QA
• Function Calling
• Agentic Chunking
• [ReWOO](./tutorials/generative-ai/ReWOO - Content Summarization.ipynb)
• Time Series Analysis with Granite and TSPulse
• Building a FileNet Troubleshooter with IBM Granite and Ollama

Agent orchestration

• LLM Agent Orchestration with Retrieval and Action Framework
• BeeAI Multi-agent Contract Management
• LangGraph SQL Agent Tutorial using Mistral Medium 3

Guardrails and safety

• Use LLM guardrails with Llama Guard 3-11b-vision using watsonx
• The Hidden World of AI Safety
• Oversee a prior art search AI agent with human-in-the-loop using LangGraph and watsonx.ai

Machine learning

• Text classification using PyTorch
• Python text summarization
• Abstractive text summarization

Model Context Protocol (MCP)

• Building a Model Context Protocol (MCP) Server
• MCP Integration with IBM Bob

Multimodal AI

• Use Llama 3.2-90b-vision-instruct for multimodal AI queries in Python with watsonx
• Use Pixtral 12B for multimodal AI queries in Python with watsonx
• Build a PPT AI image analysis question answering system with Granite vision model

Prompt engineering

• Prompt Chaining with LangChain - A Comprehensive Overview
• Prompt tune a Granite model using watsonx
• Use role prompting with IBM watsonx and Granite
• Perform zero-shot classification with a foundation model
• Prompt Caching

Tooling

• Gradient boosting classifiers in Scikit-Learn and Caret
• Ollama Tooling
• Generate unit tests for python code with watsonx code assistant

Time series forecasting

• Time Series Forecasting with Lag-Llama
• Time Series Sales Forecasting

Useful data

• IBM Redbook: Creating OpenShift Multiple Architecture Clusters with IBM Power
• NYC Hourly Temperature Data - CSV{:target="_blank"}

Instructional guides

• Creating OpenShift Multiple Architecture Clusters with IBM Power

watsonX

• Post training quantization of Granite-3.0-8B-Instruct in Python with watsonx
• Fine Tuning Granite with LoRA