DABstep: Data Agent Benchmark for Multi-step Reasoning
Paper
•
2506.23719
•
Published
Data Agents
Enterprise
community
AI & ML interests
None defined yet.
Recent Activity
View all activity
eggie5
authored
a
paper
6 days ago
baptistecolle
updated
a
dataset
about 1 month ago
baptistecolle
published
a
dataset
about 1 month ago
thomwolf
authored
a
paper
about 2 months ago
lvwerra
authored
a
paper
about 2 months ago
freddyaboulton
posted
an
update
2 months ago
freddyaboulton
posted
an
update
3 months ago
Post
576
Time is running out! ⏰
Less than 24 hours to participate in the MCP Hackathon and win thousands of dollars in prizes! Don't miss this opportunity to showcase your skills.
Visit Agents-MCP-Hackathon/AI-Marketing-Content-Creator to register!
Less than 24 hours to participate in the MCP Hackathon and win thousands of dollars in prizes! Don't miss this opportunity to showcase your skills.
Visit Agents-MCP-Hackathon/AI-Marketing-Content-Creator to register!
freddyaboulton
posted
an
update
3 months ago
Post
418
🚨 NotebookLM Dethroned?! 🚨
Meet Fluxions vui: The new open-source dialogue generation model.
🤯 100M Params, 40k hours audio!
🎙️ Multi-speaker audio
😂 Non-speech sounds (like [laughs]!)
📜 MIT License
Is this the future of content creation? Watch the video and decide for yourself!
https://huggingface.co/spaces/fluxions/vui-spacehttps://huggingface.co/fluxions/vui
Meet Fluxions vui: The new open-source dialogue generation model.
🤯 100M Params, 40k hours audio!
🎙️ Multi-speaker audio
😂 Non-speech sounds (like [laughs]!)
📜 MIT License
Is this the future of content creation? Watch the video and decide for yourself!
https://huggingface.co/spaces/fluxions/vui-spacehttps://huggingface.co/fluxions/vui
- 1 reply
loubnabnl
authored
a
paper
3 months ago
thomwolf
authored
a
paper
3 months ago
lvwerra
updated
a
Space
3 months ago
Post
3911
SmolVLM is now available on PocketPal — you can run it offline on your smartphone to interpret the world around you. 🌍📱
And check out this real-time camera demo by @ngxson , powered by llama.cpp:
https://github.com/ngxson/smolvlm-realtime-webcam
https://x.com/pocketpal_ai
And check out this real-time camera demo by @ngxson , powered by llama.cpp:
https://github.com/ngxson/smolvlm-realtime-webcam
https://x.com/pocketpal_ai
-
- 3 replies
lewtun
authored
a
paper
4 months ago
hannayukhymenko
posted
an
update
4 months ago
Post
3626
🚀 We are delighted to announce MamayLM, a new state-of-the-art efficient Ukrainian LLM!
📈 MamayLM surpasses similar-sized models in both English and Ukrainian, while matching or overtaking up to 10x larger models.
📊 MamayLM is a 9B model that can run on a single GPU, enabling cost-efficient AI autonomy and adoption across sectors in Ukraine such as education, legal, healthcare, public services and others (e.g., by specializing it to particular use cases). MalayLM is also attractive for organizations wishing to preserve data privacy as it s efficiency allows it to run on a local machine.
🧠 MamayLM is trained on high-quality Ukrainian data and understands Ukrainian language, culture, and history. It is built on top of Google’s Gemma 2 9B model, but uses a number of new advances stemming from INSAIT’s experience in creating BgGPT, a Bulgarian LLM we released last year, now adopted nationwide and profiled several times by Google as a worldwide success case.
🤝 MamayLM is developed in a collaboration between researchers at INSAIT and ETH Zürich and is trained entirely via donations to INSAIT for AI compute resources.
📥 MamayLM is now freely available to download on INSAIT’s HuggingFace in both full and quantized versions. We also publicly release all Ukrainian benchmarks we evaluated on.
📝 Further, we release blog posts in both English and Ukrainian, sharing our approach to creating MamayLM, hoping to drive further improvements by the community.
🌎 The release of LLMs for various languages is part of INSAIT’s mission in ensuring countries can achieve AI autonomy in a cost-efficient, controlled, safe and predictable manner.
MamayLM model and benchmarks:
INSAIT-Institute
Blog (EN): https://huggingface.co/blog/INSAIT-Institute/mamaylm
Blog (UKR): https://huggingface.co/blog/INSAIT-Institute/mamaylm-ukr
📈 MamayLM surpasses similar-sized models in both English and Ukrainian, while matching or overtaking up to 10x larger models.
📊 MamayLM is a 9B model that can run on a single GPU, enabling cost-efficient AI autonomy and adoption across sectors in Ukraine such as education, legal, healthcare, public services and others (e.g., by specializing it to particular use cases). MalayLM is also attractive for organizations wishing to preserve data privacy as it s efficiency allows it to run on a local machine.
🧠 MamayLM is trained on high-quality Ukrainian data and understands Ukrainian language, culture, and history. It is built on top of Google’s Gemma 2 9B model, but uses a number of new advances stemming from INSAIT’s experience in creating BgGPT, a Bulgarian LLM we released last year, now adopted nationwide and profiled several times by Google as a worldwide success case.
🤝 MamayLM is developed in a collaboration between researchers at INSAIT and ETH Zürich and is trained entirely via donations to INSAIT for AI compute resources.
📥 MamayLM is now freely available to download on INSAIT’s HuggingFace in both full and quantized versions. We also publicly release all Ukrainian benchmarks we evaluated on.
📝 Further, we release blog posts in both English and Ukrainian, sharing our approach to creating MamayLM, hoping to drive further improvements by the community.
🌎 The release of LLMs for various languages is part of INSAIT’s mission in ensuring countries can achieve AI autonomy in a cost-efficient, controlled, safe and predictable manner.
MamayLM model and benchmarks:
INSAIT-Institute
Blog (EN): https://huggingface.co/blog/INSAIT-Institute/mamaylm
Blog (UKR): https://huggingface.co/blog/INSAIT-Institute/mamaylm-ukr
- 1 reply
Post
6410
If you've followed the progress of robotics in the past 18 months, you've likely noticed how robotics is increasingly becoming the next frontier that AI will unlock.
At Hugging Face—in robotics and across all AI fields—we believe in a future where AI and robots are open-source, transparent, and affordable; community-built and safe; hackable and fun. We've had so much mutual understanding and passion working with the Pollen Robotics team over the past year that we decided to join forces!
You can already find our open-source humanoid robot platform Reachy 2 on the Pollen website and the Pollen community and people here on the hub at
pollen-robotics
We're so excited to build and share more open-source robots with the world in the coming months!
At Hugging Face—in robotics and across all AI fields—we believe in a future where AI and robots are open-source, transparent, and affordable; community-built and safe; hackable and fun. We've had so much mutual understanding and passion working with the Pollen Robotics team over the past year that we decided to join forces!
You can already find our open-source humanoid robot platform Reachy 2 on the Pollen website and the Pollen community and people here on the hub at
pollen-robotics
We're so excited to build and share more open-source robots with the world in the coming months!
- 1 reply
thomwolf
authored
a
paper
5 months ago
lewtun
authored
a
paper
5 months ago
anton-l
authored
a
paper
5 months ago
lvwerra
authored
a
paper
5 months ago
loubnabnl
authored
a
paper
5 months ago