Contents
Words made simple
A few useful meanings before you read the explanation.
- AI
- Software techniques for tasks such as recognizing patterns, understanding language or generating content.
- LLM
- A model trained to work with language. It can write or summarize text, but its answer still needs checking against reliable information.
- Embedding
- A list of numbers that represents the meaning of some content. Similar meanings can produce nearby lists of numbers.
More words from this lesson
- Vector
- An ordered list of numbers. An embedding is a vector used to represent content for tasks such as similarity search.
- RAG
- Find relevant information first, then give it to a model to help answer the question. The answer is only as reliable as the information and checks used.
- Agent
- An application that uses a model to choose its next action within defined limits. It can use tools and continue through several steps.
- Deterministic
- Following steps or rules defined by code. The model does not decide which step should run next in a deterministic workflow.
- Orchestration
- Coordinating tasks: deciding their order, passing data between them, and handling waiting or failures.
- AI and LLM fundamentals
- Python for AI engineers
- Embeddings
- Vector databases and search
- RAG, beginner to advanced
- Agents and agent patterns
- LangChain
- LangGraph, in depth
- Modern agent frameworks
- Deterministic and agentic workflows
- Workflow orchestration
- MCP
- AI memory
- AI security
- Guardrails
- Evaluation
- Observability
- Cost and performance
- AI gateways
- Multimodal AI
- Local AI
- Fine-tuning
- Cloud AI
- MERN and AI
- MongoDB and AI
- AI system design
- Insurance reference project
- Practical project roadmap
- Interview questions with answers
- Senior decision framework
- Final interview cheat sheet
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Contents
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AI and LLM fundamentals
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