Teaching Our AI to ... Learn
summary
Explains how to make AI models answer correctly by adding knowledge and data (private or public) using techniques like RAG, MCP, function calling, agents, fine-tuning and training. Compares each approach’s trade-offs and gives concrete implementation guidance for developers on when and how to integrate these tools into their applications.
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chapters (13)
- 0:00Introduction
- 1:24AI and Java overview
- 10:32AI concepts and tokens
- 22:29Naïve chatbot with LangChain4J
- 34:45System prompts for specialization
- 40:46Adding memory to chatbot
- 55:12Retrieval Augmented Generation (RAG)
- 1:09:08Function calling and tools
- 1:18:15Model Context Protocol (MCP)
- 1:28:08Agentics and autonomous agents
- 1:40:08Deploying local models
- 1:45:42Fine-tuning for business
- 2:00:18Summary
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