Join Lext Australia during CSIRO's National AI Month for a practical discussion on the basics of retrieval augmented generation (RAG), a powerful technique that can improve the consistency, accuracy and explainability of large language model (LLM) outputs, and give LLMs access to your proprietary data.

What to expect:
In this webinar, David and Nicola, the co-founders of Lext, will explain how retrieval augmented generation (RAG) can improve the consistency, accuracy and explainability of large language model (LLM) outputs, and give LLMs access to your proprietary data. Start with the theory and some simple examples, then dive into a case study and demonstration of a live application that explores a safe and reliable use of AI.

Key highlights:

Learn about the concepts and technology behind retrieval augmented generation (RAG): Large language models (LLMs), embeddings, and vector stores.
Learn more about safe use of generative AI, include prompt design and parameter tuning for production use cases
Understand the benefits and limitations of RAG compared to alternative methods of LLM adoption, such as fine-tuning or training a model
Explore the features of a live application that uses knowledge retrieval architecture in a specific use case

Why attend:
This webinar is a must for anyone interested in using generative AI for use cases where factual accuracy is important.

Contact the host of Introduction to retrieval-augmented generation: Using generative AI to answer queries reliably and accurately