Train and Deploy Your Own SLM 2.0

​​​Workshop: Train and Deploy Your Own Small-Language-Model (SLM) with distil labs

​​​Join us for an interactive workshop with Distil labs where you’ll learn to train and deploy your own small-language model (SLM) using their cutting-edge platform, and how to deploy it in a local RAG system.

​​​​What you’ll need:

​This is a technical workshop, so make sure you meet the minimum requirements of technical understanding.

• ​A laptop

• ​Familiarity with Jupyter notebooks and python code

• ​Base understanding of Large Language Models

• ​Base understanding of RAG systems

​We recommend joining only if you can answer most of the following questions:

• ​What is a token?

• ​What does attention do in an LLM?

• ​What does recall mean for a RAG system?

• ​Why do RAG systems often use reranking?
  

​​​​Agenda:

​​​​1. Introduction: Brief overview of distil labs and their methodology

​​​​2. Hands-On Training: Guided session on training an SLM for question answering

​​​​3. Deployment Walkthrough: Step-by-step guide to deploying an SLM in a RAG system on your laptop.

​​​This workshop is perfect for anyone eager to explore practical applications of NLP. See you there!

LIMITED SEATS AVAILABLE: Register now