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AKCB party is fantastic! #AKCB

The Beasts have all been working very hard. 🙏 A BIG update thread is coming soon. 👀

No Signal NYC was the first event and it was a vibe. We wanna thank every single BEAST who made it out. 🗽 Shout out to Alpha Pro Club @EarlyAccessPass METAWIN TECHNO AND CHILL for making it slap.🔥 Who’s ready to join next #AKCB Tokyo in June? 🇯🇵

VALHALLA IS THE WAY

4.14.2023 VALHALLA NEW YORK, sponsored by Liquid Death and OS NYC.

Lfg!

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Meme浪潮逐步消退，如果大盘企稳，这几个板块将会迎来爆发： 1、NFT:这个板块冷了很久，但是这波meme风潮其实很多图圈新人赚了不少，重新买点心爱的小图片没问题👌，有什么不错的小图片可以评论下留言； 2、币安板块：币安体系自从干掉了stx 后杖着一家独大各种迷之操作，Bsc上的项目也越来越少，连

This is siiiick!!

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Statistical Rejection Sampling Improves Preference Optimization paper page: huggingface.co/papers/2309.06… Improving the alignment of language models with human preferences remains an active research challenge. Previous approaches have primarily utilized Reinforcement Learning from

Aligning LLMs with Human Preferences is one of the most active research areas🧪  RLHF, DPO, and SLiC are all techniques for aligning LLMs, but they come with challenges. 🥷 Google DeepMind proposes a new method, “Statistical Rejection Sampling Optimization (RSO)” 🧶

People are realizing RLHF can be easy with DPO and SLiC-HF. If you were wondering how they compare, the answer is they are pretty similar and our paper (arxiv.org/abs/2309.06657 led by terenceliu.bnb) shows the math. The biggest question is whether you should train a preference

We're LIVE with orangie and @wanderers for a first look at the new Wanderers game! x.com/i/broadcasts/1…

Curious about the theory behind DPO/RLHF? Check our recent framework to unveil the intricacies of randomized policy in Generative AI! arxiv.org/abs/2312.11456

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