Aligning and Using an Open-Source LLM
The talk
This is tutorial! Tutorials require special ticket. Please check out ticket page to see the availability.Tickets
Schedule
Room: Tutorials 1
April 2
14:00–18:00
Abstract
Large language models are very widely used today for various applications: one can detect fraud, analyze and converse with own documents or create a commercial chatbot. This "Aligning and Using an Open-Source LLM" workshop is an intensive four-hour exploration designed to demystify the world of Language Models (LLMs) and open-source frameworks. In the rpidly evolving landscape of artificial intelligence, the effective use of LLMs has become a crucial skill for machine learning engineer.
Prerequisites
Basic Python Experience, we will use Jupyter Notebooks
Description
This immersive workshop will help machine learning engineers to unlock the full potential of Language Models (LLMs). It spans for four dynamic hours, includes hands-on exploration and practical insights. During the first hour we will delve into the realm of open-source models and discover the art of effective prompting strategies. We will learn to leverage Retrieval-Augmented-Generation (RAG) techniques in the second hour, where participants will integrate their own data with LLMs, ensuring a personalized touch to model outputs. We will spend the final hours aligning an open-source LLM for a task. Tutorial data and code will be provided after a workshop.
