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LinkedIn Learning

LLMOps in Practice: A Deep Dive

via LinkedIn Learning

Overview

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Discover the core concepts and technical skills required to build and manage an LLM-based app in production.

Syllabus

Introduction
  • A deep dive into LLM operations
  • What are LLMs?
  • What are transformers?
  • What is LLMOps?
1. Build a Basic LLM App
  • Prompting
  • Advanced prompting
  • Hosting an app
  • Create a chatbot
  • LLM exercise
  • Adding logging to your server
2. First Steps in Ops
  • 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
3. BYOD with RAG
  • 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
4. RAG and Ops
  • 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
Conclusion
  • Continue your LLMOps learning journey

Taught by

Laurence Moroney

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