Interesting article: use Claude Code to help open models write CUDA kernels (for eg) by turning CC traces into Skills. They made a library out of it ๐
Nvidia is on a roll lately. Nemotron 3 Nano is my new fav local model, but here's the real flex: they published the entire evaluation setup. Configs, prompts, logs, all of it. This is how you do open models ๐ฅ
Open Source Avengers, Assemble! Ask an expert AI agent team to solve complex problems together ๐ฅ
Consilium brings together multiple agents that debate and use live research (web, arXiv, SEC) to reach a consensus. You set the strategy, they find the answer.
Finally, an open-source AI that turns your lyrics into full songs is hereโmeet YuE! Unlike other tools that only create short clips, YuE can make entire songs (up to 5 minutes) with vocals, melody, and instruments all working together. Letsss go!
Drag and drop your assets (images/videos/audios) to create any video you want using natural language!
It works by asking the model to output a valid FFMPEG and this can be quite complex but most of the time Qwen2.5-Coder-32B gets it right (that thing is a beast). It's an update of an old project made with GPT4 and it was almost impossible to make it work with open models back then (~1.5 years ago), but not anymore, let's go open weights ๐.
Qwen2.5-72B is now the default HuggingChat model. This model is so good that you must try it! I often get better results on rephrasing with it than Sonnet or GPT-4!!
Maybe like me you have always wanted a super easy way to compare llama3.2-1B vs. llama3.2-3B? or the same model with different temperatures?
Trying and comparing warm Inference API models has never been easier! Just go to https://hf.co/playground, set your token and you're ready to go. We'll keep improving, feedback welcome ๐
Find out by playing Fake Insects ๐ a Game where you need to identify which insects are fake (AI generated). Good luck & share your best score in the comments!