🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🐷 MagicPig was developed during our efforts to create challenging reasoning tasks that showcase the true potential of long-context models—tasks that cannot be solved through simple retrieval. In addition to tackling long-context closed/open LLMs (🔥 more on this coming soon), we

Congratulations to Lydia Kavraki, Rice’s Kenneth and Audrey Kennedy Professor of Computing, on her election to the National Academy of Engineering! She was recognized for advancements in robotics, AI and computational biomedicine. bit.ly/3ExjFEl National Academy of Engineering

🤯🥳 Thrilled to see our MagicPIG (lsh-ai.com) inspiring DeepSeek Native Sparse Attention design! We believe #sparsity is the key to scaling next-gen intelligence—from model parameters and contextual memory to lightning-fast inference. Instead of brute-force

Two, five, and ten years post-graduation, the campus+major combination across all of UC/CSU that leads to the highest median salaries is... UC Berkeley Computer Science!

🚀 Join us at #AAAI2025 for our tutorial: TQ08: KV Cache Compression for Efficient Long Context LLM Inference 📍 Room 116 ⏰ 4:15 PM - 6:00 PM Learn how to compress KV cache for faster, scalable LLM inference! Don't miss it! #AI #LLM #Efficiency #AAAI25

We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.

Meet the recipients of the 2024 ACM A.M. Turing Award, Andrew G. Barto and Richard S. Sutton! They are recognized for developing the conceptual and algorithmic foundations of reinforcement learning. Please join us in congratulating the two recipients! bit.ly/4hpdsbD

A "DeepSeek Effect" could be expected from the emergence of this research... Let's see what comes next.

Any approximation of LLMs—or loss in reliability—for efficiency gains simply isn’t worth the risk. Introducing "perfect compression of LLMs" Blog: medium.com/@Anshumali_/in… arxiv: arxiv.org/pdf/2504.11651

This is one of the best "quant." (it is lossless!) paper I have seen in this year!

🧙‍♂️ Shrink LLMs by 30% with ZERO accuracy loss? DFloat11 losslessly compresses LLMs by using entropy coding to assign shorter bit representations to more frequent weight values 👀 huggingface.co/papers/2504.11…

DFloat11 is awesome! Thank you to tonyzhang617 for adding Dolphin support!

llama fine tuning is great but have you tried it on xMAD.ai with just a couple of clicks?

We are very proud to announce Lydia Kavraki's election to the National Academy of Sciences. She now has the rare distinction of having been elected to all three national academies: National Academy of Engineering, @NationalAcademyofMed National Academy of Medicine & National Academy of Sciences. 👏👏👏 bit.ly/4k0gftq

Lydia is also the only Rice University faculty to be a member of all three national academies as well as the American Academy of Arts & Sciences — a quadruple threat. We are so proud of Lydia Kavraki's monumental accomplishment.

Pretty smart, you can achieve 30% LOSSLESS compression on most LLMs by entropy-coding the exponent component of their BFloat16 weight values. I like that they also implemented custom GPU kernels and showed actual throughput gains with this representation arxiv.org/pdf/2504.11651

Rice CS alumni, join us for our Bay-Area alumni get together! Short talks include an update from Luay Nakhleh, details on the new AI major from Chair Chris Jermaine & a discussion on whether AI has politics with Rodrigo Ferreira. RSVP: RiceCSBayAlumni.eventbrite.com

How many are still using standard BF16 LLMs in production? Why? I mean why? Do you like paying 2x for your LLMs and waste 30% GPU memory for no reason? NVIDIA Grok Gemini OpenAI Anthropic Meta

🎉 Lydia Kavraki is named University Professor, the highest faculty distinction at Rice University. In 112 years, she is only the 11th person and 3rd woman to earn this title. Congrats! 🔗 news.rice.edu/news/2025/lydi… Rice Computer Science Rice Electrical & Computer Engineering RICE BIOENGINEERING Rice University Mechanical Engineering #SolvingforGreaterGood

If you are starting at Rice, you can choose to be an AIist. I am very excited by this "uniquely designed" AI curriculum offered by Rice Computer Science. I have penned down my thoughts in here. Feedback welcome. medium.com/@Anshumali_/ri… Rice Engineering and Computing Rice University