RoboBrain 2.0🔥 OPEN embedded brain model by BAAIBeijing

BAAI/RoboBrain2.0-7B

✨ 7B - Apache 2.0 / 32B coming soon
✨ Supports multiple images, long videos, and high-resolution visuals
✨ Spatial + temporal reasoning
✨ Real-time memory & scene graphs

reacted to ghostai1's post with 👍 7 months ago

Post

1275

# Machine Learning and societal impact: The Next Frontier

The societal impact of AI-driven Machine Learning is truly life-changing. It’s hard to imagine life without the innovations that AI has brought upon us. From personalized recommendations on our favorite streaming platforms to self-driving cars that take us to our destinations with ease. AI is also helping to revolutionize the medical field, with breakthroughs in disease detection and treatment.

But it’s not just about the personal stuff – AI is revolutionizing the workplace too. With the help of AI, companies are able to make data-driven decisions, automate mundane tasks, and optimize their operations. This is leading to increased productivity and efficiency, resulting in a better bottom line for businesses.

In conclusion, AI-driven Machine Learning is transforming our world in ways we never imagined possible. It’s hard to think about life without it, and we can only wonder what amazing things the future holds for us when it comes to AI. We’re in the midst of a revolution, and it’s exciting to be a part of it!

reacted to drwlf's post with ❤️ 7 months ago

Post

5774

Having an insanely good medical LLM is pointless if it won’t answer your questions!

So we’ve made 2 notebook for abliterating any model in order to achieve a good model that will actually help you!

The notebooks are made using @mlabonne ‘s abliteration logic and datasets!

Feel free to use them and happy training 😊

https://github.com/dralexlup/LLM-Abliteration

3 replies

reacted to davanstrien's post with 👍 7 months ago

Post

3665

Inspired by Hugging Face's official MCP server, I've developed a complementary tool that exposes my semantic search API to enhance discovery across the HF platform.

Key capabilities:

- AI-powered semantic search for models and datasets
- Parameter count analysis via safetensors metadata
- Trending content discovery
- Find similar models/datasets functionality
- 11 tools total for enhanced ecosystem navigation

The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.

Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!)

https://github.com/davanstrien/hub-semantic-search-mcp