Tutorials 👩🏫
Generative AI
LangChain
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
Granite
- Granite Speech 3.3
- Docling Granite QA
- Function Calling
- Agentic Chunking
- ReWOO
- Time Series Analysis with Granite and TSPulse
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
Model Context Protocol (MCP)
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
Time series forecasting
Useful data
- IBM Redbook: Creating OpenShift Multiple Architecture Clusters with IBM Power
- NYC Hourly Temperature Data - CSV