๐๐ปโโ๏ธHey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group : Tonic/Lucie-7B hope you like it ๐
Sharing what we have built over the course of the weekend at the @llamameta hackathon, by Cerebral Valley in London ๐ฌ๐ง ๐
@gabrycina@calebgcc and I competed with 200+ participants and 50+ teams for a 24-hrs sprint centered around hacking for impact! We focused on applications of robotics to those in need of assisted living, moving our focus to enable greater autonomy and accessibility of robotics in everyday life.
If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using @lerobot and used Llama-3.2 models to handle user interactions and switch between tasks, go ahead and have a look! Also, don't be a stranger, and reach out ๐ฆพ
Our project is fully open-source, for the community (and ourselves, ๐จโ๐ณ) to build! A huge thank you to @cadene for the help (and the robot ๐คญ) - truly feeling these hugs-vibes ๐ค , and to @thomwolf and @clem for sharing our work across
Little extra: โก๏ธ Our ๐ง EEG waves๐ง -based control of the ๐ฆพrobotic arm๐ฆพ
โ๏ธ the last few weeks has been very intense! ๐ด I have been out all weekends ๐ด Participated in 4 hackathons in a row (2 more to come!) ๐ด Even threw a big hackathon myself!
Nonetheless, I am in school again ๐ซ, which meant... โจhomeworkโจ
if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps ๐ค๐ค๐ค
boomers still pick zenodo.org instead of huggingface ??? absolutely clownish nonsense , my random datasets have 30x more downloads and views than front page zenodos ... gonna write a comparison blog , but yeah... cringe.
scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !