AI Terms Explained for Beginners
Learn common AI terms in simple language, including prompts, LLMs, tokens, embeddings, RAG, agents, MCP, hallucinations, and fine-tuning.
Learn common AI terms in simple language, including prompts, LLMs, tokens, embeddings, RAG, agents, MCP, hallucinations, and fine-tuning.
Learn how LangChain memory and chat history help AI apps keep context across messages, answer follow-up questions, and support more natural conversations.
Learn how LangChain output parsers help turn LLM responses into structured JSON that your Python applications can validate, reuse, and process.
Learn how to connect Claude Desktop to GitHub using GitHub's official MCP server, Docker, and a secure Personal Access Token setup.
Learn how LangChain prompt templates work and build reusable AI prompts with Python, ChatPromptTemplate, variables, and a chat model.
Learn how to connect Claude Desktop to an existing local Excel file by configuring a ready-made Excel MCP server.
Learn how to load a local JSON file into DuckDB with dlt, inspect the result with SQL, and understand a simple data pipeline pattern.