30th & 31 May 2024
Informatics Institute of Technology, Spencer Building, 435 Galle Rd,Colombo 03
- A workshop on LLMs and to share the knowledge with the research community
- A shared task to be distributed among many groups/teams and requesting them to submit their intended solutions with a view to develop the ideas further into a fully fledged startup
- A panel discussion lead by some industry experts as to the steps to take such ideas to the next level
- Selection of best ideas, use cases which can developed further as a future potential startups
We are planning to have a workshop in LLMs run by our partner, Robert Gordon University of UK. We will get resource persons from there to run the workshop.
The aim of this workshop is to explore opportunities for integrating Large Language Models (LLMs) into your applications and with other AI methodologies. We anticipate that these synergies will foster a deeper understanding of their combined potential.
This workshop will present an excellent opportunity for researchers and practitioners to discuss and share their insights on this new, exciting and rapidly evolving field of AI. We look forward to your contributions and an engaging and informative workshop.
Meanwhile, we have called for abstracts or WIP papers in the area from academics in all Universities and also researchers from the industry. This is in order to analyze the current work that is going on with a view to help develop some startup companies in the commercially viable projects identified.
Panel discussion will be with some industry experts to showcase their experience in helping out such ideas to be further developed in to full fledged projects or applications.
Topics of Interest include, but are not limited to:
- Advanced prompt engineering techniques for LLMs.
- Utilising Retrieval Augmented Generation (RAG) to enrich LLM outputs.
- Generating datasets with LLMs.
- Developing and applying multimodal LLMs.
- Enhancing reasoning and decision-making through integration of AI methodologies (e.g. reinforcement learning, case-based reasoning, human in the loop) with Large Language Models (LLMs).
- Implementing LLMs across various domains: law, healthcare, education, and marketing.
- Case studies on effective LLM integrations.
- Exploring transparency and explainability in LLM applications.
- Addressing ethical considerations in LLMs, including truthfulness.
- Ethics, scalability, and maintenance challenges in LLM deployment.
- Future directions and emerging trends in LLM technology