Ok, I'll confess! I too like Roland Emmerich's Godzilla. I even like the creature design in this film!

The one Frankenstein film to rule them all! Thank you, @realgdt.bsky.social 🙏

The Consciousness API: What if consciousness isn't contained within us, but rather we are temporary antennas, tuning into a vast, universal broadcast of awareness?

In this article, I explore the story behind some of the ideas introduced in the Transformer paper. Exploring things from the fundamental attention mechanism that lies at its heart to the surprisingly simple explanation for its name. You may find it interesting! 🙂 👇link below

We're particularly proud to release Aya Vision 8B - it's compact 🐭 and efficient 🐎, outperforming models up to 11x its size 📈. Releasing open weights helps to make breakthroughs in VLMs accessible to the research community.

🧬 Join us this Wednesday on @mozilla.ai discord server in our second session of the Biological Representation Learning series where we discuss landmark papers in the field! We will be presenting the ProGen protein language model paper from Salesforce. See you there! 😃

📢 Join us on Discord for our first Blueprints Hub event 📢 Discover Blueprints and learn how to transform text into podcast-style conversations using entirely open source tools. 🗓️ Wednesday, Jan. 22nd ⏰ 1:30-2:00 PM EST 🔗 Event: discord.gg/BaYFBaeh?eve... #OpenSource #AI #Blueprints #MozillaAI

As the @cohereforai.bsky.social joins the Bluesky family — we will be sharing paper gems from when we first started as a lab. This paper is part of a larger research agenda where we have focused on how to better represent the long tail = making AI work for almost all real world distributions.

Meet Helium-1 preview, our 2B multi-lingual LLM, targeting edge and mobile devices, released under a CC-BY license. Start building with it today! huggingface.co/kyutai/heliu...

✨ Excited to share our latest work from The Data Provenance Initiative ☸️ This is the most comprehensive audit of multimodal training data, auditing ~4000 datasets between 1990 and 2024, and covering more than 400 unique tasks in 608 languages! 🧵 1/n

🌟 500! 🌟 Our Community Computer Vision Course Repo just reached 500 stars on GitHub: github.com/johko/comput... 🤩 I'm really proud of all the amazing content people from the community have contributed here and that they still keep on adding very cool and helpful material 💪

The Hudsucker Proxy is the most underrated Coen Brothers film!

Funny thought: if "post-training" refers mostly to supervised instruction-tuning and alignment of a "pre-trained" model, then where does the actual "training" happen! 😀

Super excited to announce our best open-source language models yet. OLMo 2. These instruct models are hot off the press -- finished training with our new RL method this morning and vibes are very good.

Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs. SmolVLM can be fine-tuned on a Google collab and be run on a laptop! Or process millions of documents with a consumer GPU!

A vertical takeoff of life science with #AI LLLMs. Publication of 10 new foundation models of Proteins, DNA, RNA, methylation, cells, and interactions, evolution, and design in the past couple of weeks! Unprecedented progress, reviewed in the new Ground Truths erictopol.substack.com/p/learning-t...

A Data-centric AI starter pack (Needless to say, this is by no means exhaustive). Please feel free to mention anyone I've missed in this list and I will update it. go.bsky.app/SNj7M2Y

It's Sunday morning so taking a minute for a nerdy thread (on math, tokenizers and LLMs) of the work of our intern Garreth By adding a few lines of code to the base Llama 3 tokenizer, he got a free boost in arithmetic performance 😮 [thread]

🤖 ML/AI Mega Starter Pack 1. Open-source LLMS go.bsky.app/FELkyDr 🧵

NLP? RL? Why not both?! arxiv.org/abs/2411.14251

1/ I work in #NeuroAI, a growing field of research, which many people have only the haziest conception of... As way of introduction to this research approach, I'll provide here a very short thread outlining the definition of the field I gave recently at our BRAIN NeuroAI workshop at the NIH. 🧠📈