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Discover the core concepts and technical skills required to build and manage an LLM-based app in production.
Overview
Syllabus
Introduction
- A deep dive into LLM operations
- What are LLMs?
- What are transformers?
- What is LLMOps?
- Prompting
- Advanced prompting
- Hosting an app
- Create a chatbot
- LLM exercise
- Adding logging to your server
- Coding for logging
- Exploring the logging system
- RLHF and user feedback
- Challenge: Implementing RLHF and user feedback
- Demonstrating the ops project completed
- Solution: Completing an ops project
- Demonstrating the code for the ops
- Retrieval augmented generation (RAG)
- Installing and setting up a VectorDB
- Create a VectorDB
- BYOD to a VectorDB
- VectorDB: Hands-on use case
- Querying the VectorDB
- Demonstration: Querying the VectorDB
- Extending your app with RAG
- RAG: Showing it in action
- Challenge: Complete RAG application
- Solution: Complete RAG application
- Extending RAG with ops
- Logging
- Hands-on logging
- Metrics
- Hands-on metrics
- Version management
- Hands-on version management
- RAG Ops: Updating the data
- Hands-on RAG ops
- RAG in action: Exercise
- Continue your LLMOps learning journey
Taught by
Laurence Moroney
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