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6:00 PM - 7:00 PM GMT
Wednesday, Dec 4
6:00 PM - 7:00 PM GMT
Aligning LLMs with Representation Learning
About the Tech TalkJoin Scale AI researchers as they present their NeurIPS 2024 main track paper introducing a novel approach to improving LLM alignment. This technical session will explore how goal-conditioned representations can enhance reward modeling
Sean Hendryx
Vaskar Nath
Jessica Zhu
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Posted Jul 16, 2024 | Views 1.7K
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Blogs

Articles
In this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models
Nov 18th, 2022
Guides
A vision transformer learns from image data by treating image patches as tokens. Adding a token learning layer to a vision transformer speeds up its operations.
Sep 21st, 2022
Articles
The DALL·E 2 team at OpenAI recently described an intriguing way to limit certain sensitive training images from their image-generation model. We hypothesize that you could improve on this technique by expanding the training dataset for DALL·E 2 with synthetic data.
Sep 6th, 2022
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