Understanding RAG : Best Practices and Practical Solutions

Join us on April 8th at 18:00 in Trondheim for an engaging deep dive into Retrieval-Augmented Generation (RAG) - the process of optimizing the output of a large language model. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization's internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts (from amazon.com.

This session will cover the fundamentals, latest advancements, and applications of RAG. We'll explore:

• The Retrieval process - how AI models find and access relevant information efficiently.

• The Augmentation & Generation steps - how retrieved knowledge enhances AI responses and enables more powerful applications.

Expect a mix of theory, state-of-the-art insights, and practical examples, making it a great opportunity to understand how RAG is works.

Adresse: Powerhouse, Brattørkaia 17, Trondheim. Kantina er i 2.etasje. Det blir servert tapas.

Event is organized by Tekna Big Data. Seats are limited, and a no-show fee applies. If you do not cancel your registration by April 6th, a fee of 350 NOK will be charged.