This talk explores techniques for injecting insight into data representations to increase effectiveness in model performance, especially in a cross-domain setting. More recently, Large Language Models (LLMs) have been used to produce textual augmentations to data representations, with more success. Couched within these tensions, this talk reports on recent work towards increased availability of both formal and informal representations of language and knowledge.
Reinforcement learning (RL) is famously powerful but difficult to wield, and until recently, had demonstrated impressive results on games, but little real-world impact. I will start the talk with a discussion of RL for Large Language Models (LLMs), including scalable supervision techniques to better align models with human preferences (Constitutional AI / RL)
ODSC East 2024 is done and we'll have to wait another year to gather together live in Boston. In the meantime, recordings of our virtual sessions are now available on demand! Keynotes and talks are available for free, while deep dives into topics with training sessions and workshops are available for purchase.
September 5th to 6th, 2024 - London Featuring 200 hours of content, 90 thought leaders and experts, and 40+ workshops and training sessions, Europe 2024 will keep you up-to-date with the latest topics and tools in everything from machine learning to generative AI and more.
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