Hugging Face

Hugging Face (Twitter) RT @mervenoyann: my @huggingface 2025 wrapped has arrived and it's so surprising 😄 thanks everyone for all the love you showed to my repositories 💛

Hugging Face (Twitter) RT @ClementDelangue: This weekend, we’re shipping 3,000 Reachy Minis all over the world! To my knowledge, it’s one of the largest shipments of AI robots of the year (or ever?) just in time for Christmas! If you’re in this batch, expect to receive an email in the coming days. Keep in mind that this first version is designed for AI builders, so it’s very bare-bones. At the moment, it has very little software on it, and, like most early hardware, will likely have a fair number of bugs and quirks. Right now, it’s much more of an open-source, DIY robotics platform than a polished consumer robot. The beautiful thing is that we’ve already seen community members managing to hack cool apps and help to improve Reachy Mini a lot! If you’re not in this batch or haven’t bought a Reachy Mini yet, you can expect delivery by the end of January, or roughly 90 days after your purchase (we’re actively working to shorten that timeline). In the meantime, you can start... Перейти на оригинальный пост

Hugging Face (Twitter) RT @julien_c: <3

Hugging Face (Twitter) RT @jeffboudier: "We're seeing that we can take open source models, fine-tune them, and get similar performance to the very best proprietary models at less than 10% of the cost" @williamready - @Pinterest CEO

‌Hugging Face (Twitter) RT @_akhaliq: OpenAI just released circuit-sparsity https://huggingface.co/openai/circuit-sparsity

‌Hugging Face (Twitter) RT @victormustar: One of the coolest AI project ever? Training an LLM from scratch using ONLY texts from 1800-1875 London. Goal: create a language model with zero modern bias contamination. a true time capsule 🧙‍♂️ https://huggingface.co/haykgrigorian/v2mini-eval1

Hugging Face (Twitter) RT @allen_ai: Olmo 3.1 is here. We extended our strongest RL run and scaled our instruct recipe to 32B—releasing Olmo 3.1 Think 32B & Olmo 3.1 Instruct 32B, our most capable models yet. 🧵

Hugging Face (Twitter) RT @code_star: on HF now! go get you some! https://twitter.com/code_star/status/1999521706193662092#m

Hugging Face (Twitter) RT @mishig25: Using AI to do more AI at HF. We added chatbot on every hf doc page so that one can get answers faster we are using open source embedding models & llms through hugging chat and one of our inference providers to serve answers

Hugging Face (Twitter) RT @Teknium: Very cool project that a lot of people have asked for for a long time, an LLM trained on 90GB of only 1800s and older texts https://www.reddit.com/r/LocalLLaMA/comments/1pkpsee/training_an_llm_only_on_1800s_london_texts_90gb/?share_id=bNU-FZ_DcfA7jUfNpzQNk&utm_content=2&utm_medium=android_app&utm_name=androidcss&utm_source=share&utm_term=1

Hugging Face (Twitter) RT @lukemerrick_: Just dropped a new text embedding methodology. Fast as heck on CPU only and still great for document similarity analysis, clustering, and classification. How? Use a tiny ReLU network to approximate a big transformer from lexical (term frequency / bag of words) features.

Hugging Face (Twitter) RT @ClementDelangue: Personally feels like we've reached the peak of "Proprietary APIs" and that we're entering a much more balanced world for AI where open-source, training, @huggingface (and other players) will start getting a much bigger share of the attention, usage and revenue. Let's go!