Core
Generation, prompting, and grounded answers
UNECA StatsChat course
Setup
Installing Git, Python and VS Code
Primers
GitHub and repo orientation
Python and command-line basics
LLMs and RAG foundations
Core
StatsChat overview
Documents and ingestion
Chunking, embeddings, and vector search
Retrieval and evidence selection
Generation, prompting, and grounded answers
Evaluation, limitations, and local adaptation
Appendices
Basic commands
Using a virtual environment
Table of contents
Introduction
Lab
Between-session task
Further reading
Core
Generation, prompting, and grounded answers
Generation, prompting, and grounded answers
In this week’s workshop, we will
Introduction
Lab
Between-session task
Critique one sample output.
Further reading
Retrieval and evidence selection
Evaluation, limitations, and local adaptation