Demystifying LLMs for Beginners: Prompt Engineering, Finetuning, and Deployment

This all-encompassing MasterClass on LLMs is tailored to beginners, offering an accessible entry point into the world of Large Language Models. By the end of this MasterClass, you'll have the skills to create your own LLM applications, spanning from the initial ideation to deployment. Let's delve into the key takeaways this MasterClass has to offer:

• Master the art of prompt engineering, exploring various techniques for crafting effective prompts.
• Get hands-on experience with LangChain to enhance prompt engineering.
• Dive deep into the world of RAG systems and build your own QA systems on private data.
• Learn different finetuning techniques for developing LLMs tailored to specific downstream tasks.
• Deploying open-source models for inference through model servers.

Module 1: Deep-dive into OpenAI API and Prompt Engineering with LangChain

• Introduce the OpenAI API and its capabilities, including text generation and summarization.
• Discuss best practices for crafting effective prompts to control model output.
• Explain what LangChain is and how it can enhance prompt engineering.
• Walk participants through creating prompts and using LangChain.

Module 2: Building QA systems with RAG

• Explain the Retrieve, Analyze, Generate (RAG) architecture for QA systems.
• Guide participants in building a simple QA system using RAG.

Note: These are tentative details and are subject to change.

Download the complete modules below.