Large Language Models (LLMs) are becoming ubiquitous: everyone is talking about them, everyone wants to use them and everyone claims is getting benefits out of them…
But… is it that simple?
This tutorial aims to demystify the Open-Source landscape of large language models, exploring what it means to use them to improve your search engine ecosystem and what are the most common pitfalls.
The talk starts by introducing the reasons to add LLMs to your search application and the complexities it adds (choosing the right model, measuring success, and rabbit holes).
Building upon the introduction we’ll present how search changes with the advent of this innovative technology, what is ‘fine-tuning’ and what are the Open-Source solutions available in terms of models, components to interact with the models, and search engines that integrate with such technologies.
During the session, we’ll have multiple demos showing effective ways of using LLMs in your search project, using open-source software and publicly available datasets.
Join us as we explore this new exciting Open-Source landscape and learn how you can leverage it to improve your search experience!