Happy holidays everyone! What would you want to see more from Hugging Face in 2025?
People are flexing their end of year stats, so I made this app to show @hf.co hub stats in a tidy design! Thanks @jfcalvo.hf.co and @ameeelie.bsky.social for the feature!
Just 10 days after o1's public debut, we’re thrilled to unveil the open-source version of the technique behind its success: scaling test-time compute By giving models more "time to think," Llama 1B outperforms Llama 8B in math—beating a model 8x its size. The full recipe is open-source!
Announcing 🥂 FineWeb2: A sparkling update with 1000s of 🗣️languages. We applied the same data-driven approach that led to SOTA English performance in🍷 FineWeb to thousands of languages. 🥂 FineWeb2 has 8TB of compressed text data and outperforms other datasets.
The FineWeb team is happy to finally release "FineWeb2" 🥂🥳 FineWeb 2 extends the data driven approach to pre-training dataset design that was introduced in FineWeb 1 to now covers 1893 languages/scripts Details: huggingface.co/datasets/Hug... A detailed open-science tech report is coming soon
The folks at Foursquare released a @hf.co dataset of 104.5 million places of interest and here's all of them plotted using datashader
Excited to see more biology open-source models for real positive use-cases of AI! Chai does structure predictions at AlphaFold3 levels of accuracy and able to handle multi-peptide or peptide-ligand complexes rather than just single chains. Apache 2.0 on HF huggingface.co/chaidiscover...
🤖 6 AI Predictions for 2025 by Hugging Face CEO #HuggingFace #ClementDelangue #ArtificialIntelligence www.cosmico.org/6-ai-predict...
6 AI Predictions for 2025 by Hugging Face CEO | Cosmico
Hugging Face CEO predicts AI protests, market disruptions, personal robots, and breakthroughs in science, as China leads the AI race in 2025.
cosmico.org
Let's make AI more inclusive. At @huggingface.bsky.social we'll launch a huge community sprint soon to build high-quality training datasets for many languages. We're looking for Language Leads to help with outreach. Find your language and nominate yourself: forms.gle/iAJVauUQ3FN8...
Six predictions for AI in 2025 (and a review of how my 2024 predictions turned out):
I would put this even more strongly: open source AI is probably our only realistic chance to avoid a terrifying increase in concentration of power. I do not want to live in a world where the people with all the money also have all the intellectual power.
The most realistic reason to be pro open source AI is to reduce concentration of power.
This demo of structured data extraction running on an LLM that executes entirely in the browser (Chrome only for the moment since it uses WebGPU) is amazing My notes here: simonwillison.net/2024/Nov/29/...
Structured Generation w/ SmolLM2 running in browser & WebGPU
Extraordinary demo by Vaibhav Srivastav. Here's Hugging Face's [SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) running directly in a web browser (using WebGPU, so r...
simonwillison.net
To showcase how much you can do with just a 1.7B LLM, you pass free text, define a schema of parsing the text into a GitHub issue (title, description, categories, tags, etc) - Let MLC & XGrammar do the rest! That's it, the code is super readable, try it out today! 🤗 huggingface.co/spaces/reach...
Wasn't going to wade into this but... as long as the internet exists in an open form, scraping will exist, and that's kind of the whole point... APIs exist because interacting with data is valuable and scraping (the old fashioned way) is annoying.
For me, the biggest risk in AI is centralization of power and benefits in the hands of a few. This is why at @hf.co, we've been investing on building online courses for as many people as possible to understand and learn to build AI themselves. You can find some of them here: huggingface.co/learn
The most realistic reason to be pro open source AI is to reduce concentration of power.
"money has flowed to tech giants and others in their orbit... [and] raises an uncomfortable prospect: that this supposedly revolutionary technology might never deliver on its promise of broad economic transformation, but instead just concentrate more wealth" www.bloomberg.com/opinion/arti...
I’m thankful for everyone using Bluesky, everyone building on atproto, everyone listening to our message and sharing our dream of a better social media ecosystem that puts people first. We’re going to do this together — thanks for joining us on this journey!
A dataset of 1 million or 2 million Bluesky posts is completely irrelevant to training large language models. The primary usecase for the datasets that people are losing their shit over isn't ChatGPT, it's social science research and developing systems that improve Bluesky.
Did you know that 99% of email today is spam? Your inbox isn’t 99% spam because AI is used to filter it. The same 99% will happen here too, but if AI researchers continue to get perma-banned for making available the datasets needed to filter it, it’s going to make this platform unusable.
Did you know that 99% of email today is spam? Your inbox isn’t 99% spam because AI is used to filter it. The same 99% will happen here too, but if AI researchers continue to get perma-banned for making available the datasets needed to filter it, it’s going to make this platform unusable.
new post: bluesky vs. huggingface for normal people jessbpeck.com/posts/bluesk... anytime i spend less than 5 months on a thing you know i have opinions. anyway, as always, feel free to argue with me/complain at me/ point out errors.
BlueSky vs. HuggingFace An Explainer for Normies
This is Jess B Peck's personal website. SEO, Analytics, big data, small data, and the web.
jessbpeck.com
Hi, so I've spent the past almost-decade studying research uses of public social media data, like e.g. ML researchers using content from Twitter, Reddit, and Mastodon. Anyway, buckle up this is about to be a VERY long thread with lots of thoughts and links to papers. 🧵
First dataset for the new @huggingface.bsky.social @bsky.app community organisation: one-million-bluesky-posts 🦋 📊 1M public posts from Bluesky's firehose API 🔍 Includes text, metadata, and language predictions 🔬 Perfect to experiment with using ML for Bluesky 🤗 huggingface.co/datasets/blu...
Hugging Face just released SmolVLM, a powerful new AI model that could seriously cut costs and boost efficiency for businesses! 🤯 🔗 Read more: venturebeat.com/ai/hugging-f...
Hugging Face’s SmolVLM could cut AI costs for businesses by a huge margin
Hugging Face launches SmolVLM, a compact and efficient vision-language AI model, offering businesses a cost-effective solution for advanced AI implementation without sacrificing performance.
venturebeat.com
Good move by @danielvanstrien.bsky.social to apologize & remove the dataset IMO. Let's find ways to fight concentration of power in the hands of proprietary/commercial actors (who are certainly using all the public data they can find w/o telling you) while also fostering consent & attribution.
I've removed the Bluesky data from the repo. While I wanted to support tool development for the platform, I recognize this approach violated principles of transparency and consent in data collection. I apologize for this mistake.
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!
First dataset for the new @huggingface.bsky.social @bsky.app community organisation: one-million-bluesky-posts 🦋 📊 1M public posts from Bluesky's firehose API 🔍 Includes text, metadata, and language predictions 🔬 Perfect to experiment with using ML for Bluesky 🤗 huggingface.co/datasets/blu...
bluesky-community/one-million-bluesky-posts · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
I've been in Brazil for 10 days now 🇧🇷🇧🇷🇧🇷 I've been surprised by the gap between the massive number of people interested in AI (chatgpt adoption is crazy here) and the relatively low number of real AI builders - aka people and companies building their own AI models, datasets and apps.