Life beyond ChatGPT: From RAG to Tuned Language Models
Fine Tuning
LLM
RAG
Join Maria from Databricks for a comprehensive two-part workshop on Large Language Models (LLMs), aimed at transforming how we think about GenAI applications. In Part 1, we will discuss the world of open and proprietary LLMs, including a detailed exploration of a RAG (Retrieval Augmented Generation) use case. The exercise that follows focuses on the practical application of RAG, guiding you through the process of building a fully fledged RAG-powered chat-application. The second part of the talk is all about finetuning foundational models using your company data where we will discuss the complexities involved and the cost implications of building your own custom models. Seize this opportunity to revolutionize the internal business processes and elevate customer experiences with the power of Large Language Models.
Time & Place
March 19
14:00 - 15:30
The Ritz-Carlton Berlin
Salon Bellevue
Classroom Seating
Max. Capacity: 24 Seats
Meet Your Intructors
Maria Zervou
Senior Specialist Solutions Architect, Databricks
Maria is a Greek-expat experiencing the London life… and weather! With a Data Science degree and a lot of curiosity about how coding and data can unlock new ways of solving problems, her journey to the data world started. Maria has worked as a Data Scientist and an ML engineer for the past 5 years, where she experienced how data actually challenges and transforms the way we think and operate.
What To Expect
Who Is This For?
✓ Data Scientists
✓ Machine Learning Engineers
✓ Anyone who wants to be part of the LLM wave
Pre-Requisites
✓ General GenAI Knowledge
✓ Basic Prompt Engineering
✓ Basic Data Handling
✓ Intro to ML Concepts
✓ Bring Your Own Laptop
What You'll Learn & Do?
✓ Explore LLM Ecosystem
✓ Understand RAG
✓ Implement RAG Application
✓ Understand model customization
Agenda & Activities
Getting Settled 05 minutes
Information Session Part 1: 15-20 minutes
Individual / Group Exercise 10-15 minutes
Break 05 minutes
Information Session Part 2: 15-20 minutes
Individual / Group Exercise. 10-15 minutes
Q&A/Discussion 20 minutes
Reflection/Discussion 20 minutes