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 😊
Find out by playing Fake Insects 🐞 a Game where you need to identify which insects are fake (AI generated). Good luck & share your best score in the comments!
Together MoA is a really interesting approach based on open source models!
"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%)."
Congrats to @alvdansen for one of the nicest SD LoRA ever. It's so sharp and beautiful! Check the model page to try it on your own prompts: alvdansen/BandW-Manga And follow @alvdansen for more 😙
> We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024). (90.9% vs 90.2%).
The hype is real: a mysterious gpt2-chatbot model has appeared on the LLM Arena Leaderboard 👀. It seems to be at least on par with the top performing models (closed and open).
To try it out: https://chat.lmsys.org/ -> then click on the Direct Chat tab and select gpt2-chatbot.
I used HF Serverless Endpoints (with Mixtral) to get the descriptions, it was seamless to do! btw check out the new Serverless Endpoints dashboard - it's awesome!
🆕 There's now a visible description on Spaces previews. You can set the description of your Spaces by editing their README.md - it should make your Spaces more discoverable 🚀.
Today we are releasing Assistants on HuggingChat! Assistants are a fun way to package your prompts and share them with the world - powered by Open source Models of course!