Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics
Paper
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2410.05183
•
Published
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1
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PereLluis13
authored
2
papers
7 days ago
Post
374
I have always advocated for writing techinical stories without using LLMs.
The following one page editorial really drives the point home.
https://www.nature.com/articles/s44222-025-00323-4
The following one page editorial really drives the point home.
https://www.nature.com/articles/s44222-025-00323-4
Post
2050
AudioRAG is becoming real! Just built a demo with ColQwen-Omni that does semantic search on raw audio, no transcription needed.
Drop in a podcast, ask your question, and it finds the exact chunks where it happens. You can also get a written answer.
What’s exciting: it skips transcription, making it faster and better at capturing emotion, ambient sound, and tone, surfacing results text search would miss.
- Demo: fdaudens/colqwen-omni-demo
- Blog post from ColQwen team: https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval
Drop in a podcast, ask your question, and it finds the exact chunks where it happens. You can also get a written answer.
What’s exciting: it skips transcription, making it faster and better at capturing emotion, ambient sound, and tone, surfacing results text search would miss.
- Demo: fdaudens/colqwen-omni-demo
- Blog post from ColQwen team: https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval
- 1 reply
Post
2468
You might not have heard of Moonshot AI — but within 24 hours, their new model Kimi K2 shot to the top of Hugging Face’s trending leaderboard.
So… who are they, and why does it matter?
Had a lot of fun co-writing this blog post with @xianbao , with key insights translated from Chinese, to unpack how this startup built a model that outperforms GPT-4.1, Claude Opus, and DeepSeek V3 on several major benchmarks.
🧵 A few standout facts:
1. From zero to $3.3B in 18 months:
Founded in March 2023, Moonshot is now backed by Alibaba, Tencent, Meituan, and HongShan.
2. A CEO who thinks from the end:
Yang Zhilin (31) previously worked at Meta AI, Google Brain, and Carnegie Mellon. His vision? Nothing less than AGI — still a rare ambition among Chinese AI labs.
3. A trillion-parameter model that’s surprisingly efficient:
Kimi K2 uses a mixture-of-experts architecture (32B active params per inference) and dominates on coding/math benchmarks.
4. The secret weapon: Muon optimizer:
A new training method that doubles efficiency, cuts memory in half, and ran 15.5T tokens with zero failures. Big implications.
Most importantly, their move from closed to open source signals a broader shift in China’s AI scene — following Baidu’s pivot. But as Yang puts it: “Users are the only real leaderboard.”
👇 Check out the full post to explore what Kimi K2 can do, how to try it, and why it matters for the future of open-source LLMs:
https://huggingface.co/blog/fdaudens/moonshot-ai-kimi-k2-explained
So… who are they, and why does it matter?
Had a lot of fun co-writing this blog post with @xianbao , with key insights translated from Chinese, to unpack how this startup built a model that outperforms GPT-4.1, Claude Opus, and DeepSeek V3 on several major benchmarks.
🧵 A few standout facts:
1. From zero to $3.3B in 18 months:
Founded in March 2023, Moonshot is now backed by Alibaba, Tencent, Meituan, and HongShan.
2. A CEO who thinks from the end:
Yang Zhilin (31) previously worked at Meta AI, Google Brain, and Carnegie Mellon. His vision? Nothing less than AGI — still a rare ambition among Chinese AI labs.
3. A trillion-parameter model that’s surprisingly efficient:
Kimi K2 uses a mixture-of-experts architecture (32B active params per inference) and dominates on coding/math benchmarks.
4. The secret weapon: Muon optimizer:
A new training method that doubles efficiency, cuts memory in half, and ran 15.5T tokens with zero failures. Big implications.
Most importantly, their move from closed to open source signals a broader shift in China’s AI scene — following Baidu’s pivot. But as Yang puts it: “Users are the only real leaderboard.”
👇 Check out the full post to explore what Kimi K2 can do, how to try it, and why it matters for the future of open-source LLMs:
https://huggingface.co/blog/fdaudens/moonshot-ai-kimi-k2-explained
Post
260
AI is reshaping everything—how we work, how we feel, even how nations compete.
Today’s reads cut across power, emotion, and disruption.
Here’s what stood out and why it matters 👇
AI might “solve” loneliness, but this could be a problem, as the discomfort of loneliness shapes us in important ways. 💔 https://t.co/k2Q9le6G0P
A new study warns of significant risks in using AI therapy chatbots, highlighting issues like stigmatization and inappropriate responses. 🤖 https://t.co/EFyW0RbYVl
AI is already showing signs of slashing job openings in the UK, particularly in roles exposed to the technology, suggesting a labor market slowdown. 📉 https://t.co/hhs0BbqIMa
AI firms like OpenAI are poaching Wall Street quants with massive paydays, shifting the talent landscape for building artificial general intelligence. 💰 https://www.businessinsider.com/ai-talent-openai-wall-street-quant-trading-firms-2025-7
Speaking of which: Nvidia CEO Jensen Huang disagrees with Anthropic CEO Dario Amodei on whether AI will create more jobs—or trigger a “white-collar apocalypse.” Huang believes AI will create vastly more, and better, jobs. ⚔️ https://t.co/YHWhY7qvSq
Can Nvidia convince governments to pay for “sovereign AI”? Politicians are warming to the idea of national AI systems, but it might not reduce dependence on US tech. 🌍 https://t.co/htQDzJAIDu
Today’s reads cut across power, emotion, and disruption.
Here’s what stood out and why it matters 👇
AI might “solve” loneliness, but this could be a problem, as the discomfort of loneliness shapes us in important ways. 💔 https://t.co/k2Q9le6G0P
A new study warns of significant risks in using AI therapy chatbots, highlighting issues like stigmatization and inappropriate responses. 🤖 https://t.co/EFyW0RbYVl
AI is already showing signs of slashing job openings in the UK, particularly in roles exposed to the technology, suggesting a labor market slowdown. 📉 https://t.co/hhs0BbqIMa
AI firms like OpenAI are poaching Wall Street quants with massive paydays, shifting the talent landscape for building artificial general intelligence. 💰 https://www.businessinsider.com/ai-talent-openai-wall-street-quant-trading-firms-2025-7
Speaking of which: Nvidia CEO Jensen Huang disagrees with Anthropic CEO Dario Amodei on whether AI will create more jobs—or trigger a “white-collar apocalypse.” Huang believes AI will create vastly more, and better, jobs. ⚔️ https://t.co/YHWhY7qvSq
Can Nvidia convince governments to pay for “sovereign AI”? Politicians are warming to the idea of national AI systems, but it might not reduce dependence on US tech. 🌍 https://t.co/htQDzJAIDu
Buy extra ZERO GPU minutes?
1
#166 opened 21 days ago
by
JKM2025
[GPU-Zero] _pickle.PicklingError: Can't pickle local object 'State.__init__.<locals>.<lambda>'
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2
8
#136 opened 8 months ago
by
Mar2Ding
ZeroGPU quota exceeded bug
1
#165 opened 27 days ago
by
Korrumz2
Post
3333
Three big AI copyright updates this week alone. Tracking it all is getting almost impossible!
That’s why @BrigitteTousi and I built this interactive tracker to keep you up to date fdaudens/ai-copyright-lawsuits
(Prototyped in minutes with DeepSite!)
That’s why @BrigitteTousi and I built this interactive tracker to keep you up to date fdaudens/ai-copyright-lawsuits
(Prototyped in minutes with DeepSite!)
Post
1831
This is what efficient AI looks like: Gemma 3n just dropped - a natively multimodal model that runs entirely on your device. No cloud. No API calls.
🧠 Text, image, audio, and video - handled locally.
⚡️Only needs 2B in GPU memory to run
🤯 First sub-10B model to hit 1300+ Elo
✅ Plug-and-play with Hugging Face, MLX, llama.cpp, and more.
Plus: Multilingual out of the box (140+ languages), fine-tune in a free Colab notebook.
google/gemma-3n-685065323f5984ef315c93f4
🧠 Text, image, audio, and video - handled locally.
⚡️Only needs 2B in GPU memory to run
🤯 First sub-10B model to hit 1300+ Elo
✅ Plug-and-play with Hugging Face, MLX, llama.cpp, and more.
Plus: Multilingual out of the box (140+ languages), fine-tune in a free Colab notebook.
google/gemma-3n-685065323f5984ef315c93f4
- 1 reply
pookiefoof
authored
a
paper
about 1 month ago
Taishi-N324
authored
a
paper
about 1 month ago
BK-Lee
authored
a
paper
about 1 month ago
Post
461
What if you could extract, summarize, classify, or translate spreadsheet content with AI?
AI Sheets just dropped, and honestly I would’ve killed for this when I was doing data journalism a few years ago.
I just tested it on two real examples:
- Classified a politician's entire expense report in seconds
- Translated a blog post from English to French with one prompt
No coding, no complex formulas, no switching between different tools. You can either generate datasets from scratch, or expand and transform CSVs + Hugging Face datasets.
Kudos @dvilasuero Amélie Viallet and the team!
AI Sheets just dropped, and honestly I would’ve killed for this when I was doing data journalism a few years ago.
I just tested it on two real examples:
- Classified a politician's entire expense report in seconds
- Translated a blog post from English to French with one prompt
No coding, no complex formulas, no switching between different tools. You can either generate datasets from scratch, or expand and transform CSVs + Hugging Face datasets.
Kudos @dvilasuero Amélie Viallet and the team!
ymoslem
authored
4
papers
about 2 months ago
SpeechT: Findings of the First Mentorship in Speech Translation
Paper
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2502.12050
•
Published
Bemba Speech Translation: Exploring a Low-Resource African Language
Paper
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2505.02518
•
Published
Efficient Speech Translation through Model Compression and Knowledge Distillation
Paper
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2505.20237
•
Published
Language Modelling Approaches to Adaptive Machine Translation
Paper
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2401.14559
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Published