As more organizations are using Generative AI to perform mission-critical tasks in production, the need to ensure the LLM is providing correct and up-to-date information to the user. Join HumanSignal’s Jo Booth for a technical demonstration and workshop, where he’ll show you how to build a RAG application using Label Studio, ChatGPT, LangChain, and Ragas to create, evaluate, and fine-tune an enterprise knowledge base and ensure that the content is accurate and properly aligned.
In this webinar, you’ll learn:
- What RAG is and why so many enterprises are turning to this technique to leverage LLMs
- How to build a RAG-based question-answering system using Label Studio
- How questions are processed, how context is managed, and how to evaluate with Ragas
- A process for using Label Studio to fine-tune your model for greater accuracy
- Strategies for scaling your solution and refining prompts to handle larger datasets and more complex queries
It’s more important than ever to maintain human oversight in the loop to handle nuances and ensure high-quality outputs when using LLMs. This webinar will show you how to make that happen.
In the meantime, check out 5 new templates to enable LLM and RAG evaluation workflows in Label Studio.
Speakers
Senior Full Stack Engineer