llmu

LLM University

Here you will find the notebooks used in the LLM University course. It starts with the basics and progresses into more advanced topics. If you are new to Cohere, these guides are a great way to get started.

Contents

What are Large Language Models?

• Similarity Between Words and Sentences

Text Representation

• Introduction to Text Embeddings, Semantic Search, and Clustering
• Topic Modeling
• Few-Shot Classification
• Fine-Tuning for Classification

Text Generation

• Building a Chatbot
• Parameters for Controlling Outputs
• Prompt Engineering Basics
• Fine-Tuning for Chat

Semantic Search

• What is Semantic Search?
• Keyword Search, Dense Retrieval, Reranking, and Generating Answers

Prompt Engineering

• Constructing Prompts
• Use Case Patterns
• Validating Outputs

Retrieval-Augmented Generation (RAG)

• Getting Started with RAG
• RAG with Chat, Embed, and Rerank
• RAG with Connectors
• RAG with Quickstart Connectors
• RAG over Large-Scale Data