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MLx GENERATIVE AI (Theory, Agents, Products)
MLx GENERATIVE AI (Theory, Agents, Products)

MLx GENERATIVE AI (Theory, Agents, Products)

This course will cover SOTA topics in both theory of representation learning, and the application of generative AI in designing AI agents (e.g., agentic workflows), building AI products, and solving real-world problems in domains such as computer vision, NLP, learning from multi-modal data, and more

Time & Location

22–24 August 2024 (3 days)

LSE (Sheikh Zayed Theatre), 54 Lincoln's Inn Fields London WC2A 3LJ

About the Event

Recent years have seen the success of representation learning techniques in the form of generative AI, in domains such as vision and language, as well as learning from multi-modal data. Furthermore, we are now seeing a great deal of enthusiasm in turning these theoretical developments into agents and products that can solve real-world problems with little to no assistance from human. Therefore, in this course, we plan to provide participants with upskilling in the latest developments in generative AI — theory, agents, and products. We will bring together some of the world’s top researchers (from academia and industry) in representation learning and generative AI (both theory and applied), to cover the latest developments and the current state-of-the-art in these areas:

  • Advanced theoretical topics in representation learning (e.g., vision, language, multi-modal, …)
  • Agentic AI (e.g., agentic reasoning and design patterns)
  • Human+AI alignment
  • Building Gen. AI products — from to
  • Using SOTA foundation models (e.g., fine tuning, RAG, RLHF, prompt engineering, …)
  • Application of large frontier models in applied domains (e.g., medicine, finance, education, …)

Registration Fee

  • In-person (London, UK)

    This ticket includes access to all lectures, tea/coffee/refreshments, ...

    Tax: VAT included
  • Online

    This tickets includes access to all lectures and online networking sessions.

    Tax: VAT included



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