{"id":8033,"date":"2023-10-13T23:16:40","date_gmt":"2023-10-13T22:16:40","guid":{"rendered":"https:\/\/irsg.bcs.org\/informer\/?p=8033"},"modified":"2023-10-13T23:16:40","modified_gmt":"2023-10-13T22:16:40","slug":"search-solutions-2023-tutorials-london-21-november-2023","status":"publish","type":"post","link":"https:\/\/archive-irsg.bcs.org\/informer\/?p=8033","title":{"rendered":"Search Solutions 2023 – Tutorials London 21 November 2023"},"content":{"rendered":"

Innovations in Search & Information Retrieval.<\/strong><\/p>\n

Search Solutions is the BCS Information Retrieval Specialist Group\u2019s<\/a> annual event focused on practitioner issues in the arena of search and information retrieval. It is a unique opportunity to bring together academic research and practitioner experience.<\/p>\n

The Search Solutions event consists of a Tutorial day and a Conference day, each of which has a separate registration. Information on the Conference day can be found here<\/a>.<\/p>\n

Search Solutions 2023 Tutorials 21 November <\/strong><\/p>\n

This year there are two tutorials, a half-day tutorial on how Large Language Models can Improve Your Search Project and a full day tutorial on Uncertainty Quantification for Text Classification<\/p>\n

Registration form<\/strong> on Eventbrite<\/a><\/p>\n

<\/p>\n

Details of the tutorials are given below.<\/p>\n

Tutorial fee (for the day)<\/p>\n

BCS Members \u00a380<\/p>\n

Non-Members \u00a395<\/p>\n

Students \u00a0 \u00a0 \u00a0 \u00a0 \u00a365<\/p>\n

Location <\/strong><\/p>\n

Both the Tutorials and the Conference take place at the BCS London Headquarters, Ground Floor, 25 Copthall Avenue EC2R 7BP. This is a 10 minute walk from Liverpool Street Station (Elizabeth Line and London Underground) and a 20 minute walk from London Bridge Station.<\/p>\n

Tutorial 1 How Large Language Models Can Improve Your Search Project (Half-day)<\/strong><\/p>\n

Tutor<\/strong><\/p>\n

Alessandro Benedetti, Sease Ltd.<\/a> \u00a0Apache Lucene\/Solr committer and PMC member and Director and R&D Software Engineer<\/p>\n

Tutorial Schedule (10AM – 2PM)<\/strong><\/p>\n

Tutorial scope<\/strong><\/p>\n

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…<\/p>\n

But… is it that simple?<\/p>\n

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.<\/p>\n

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).<\/p>\n

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.<\/p>\n

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.<\/p>\n

Join us as we explore this new exciting Open-Source landscape and learn how you can leverage it to improve your search experience!<\/p>\n