NLP and LLMs
NLP and LLMs
Overview
Natural Language Processing (NLP) turns text into structured representations; Large Language Models (LLMs) generate and understand text.
Tasks
- Classification, summary, question answering, extraction
- RAG: combine your data with an LLM using vector search
Example
- Build a FAQ bot using RAG: embed documents, retrieve top-k chunks, prompt an LLM
Checklist
- Prevent hallucinations: cite sources and add guardrails
- PII handling and safety filters
Resources
- Hugging Face Transformers
- LangChain, LlamaIndex (RAG tooling)