LLMs have been rapidly evolving in recent years, and there is a lot of excitement about their potential to revolutionize many different industries. Join us to discuss the latest developments in LLM research and development. Participants will learn about the different types of LLMs, their capabilities, and their limitations. They will also discuss the potential of LLMs to impact the future of work, education, healthcare, and many other areas.
From this track
Retrieval-Augmented Generation (RAG) Patterns and Best Practices
Monday Apr 8 / 10:35AM BST
The rise of LLMs that coherently use language has led to an appetite to ground the generation of these models in facts and private collections of data.
Jay Alammar
Director & Engineering Fellow @Cohere & Co-Author of "Hands-On Large Language Models"
Navigating LLM Deployment: Tips, Tricks, and Techniques
Monday Apr 8 / 11:45AM BST
Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defence.
Meryem Arik
Co-Founder @TitanML
Reach Next-Level Autonomy with LLM-Based AI Agents
Monday Apr 8 / 01:35PM BST
Generative AI has emerged rapidly since the release of ChatGPT, yet the industry is still at its very early stage with unclear prospects and potential.
Tingyi Li
Enterprise Solutions Architect @AWS
LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries
Monday Apr 8 / 02:45PM BST
As large language models (LLM) become more prevalent in highly regulated industries, dealing with sensitive data and ensuring the security and ethical design of machine learning (ML) models is paramount.
Stefania Chaplin
Solutions Architect @GitLab
Azhir Mahmood
Research Scientist @PhysicsX
The AI Revolution Will Not Be Monopolized: How Open-Source Beats Economies of Scale, Even for LLMs
Monday Apr 8 / 03:55PM BST
With the latest advancements in Natural Language Processing and Large Language Models (LLMs), and big companies like OpenAI dominating the space, many people wonder: Are we heading further into a black box era with larger and larger models, obscured behind APIs controlled by big t
Ines Montani
Co-Founder & CEO @Explosion, Core Developer of spaCy
How Green is Green: LLMs to Understand Climate Disclosure at Scale
Monday Apr 8 / 05:05PM BST
Assessment of the validity of climate finance claims requires a system that can handle significant variation in language, format, and structure present in climate and financial reporting documentation, and knowledge of the domain-specific language of climate science and finance.
Leo Browning
First ML Engineer @ClimateAligned
