HF Realtime Voice
🎙
266
Voice chat over WebSocket against a HF speech-to-speech
Alexandros Liapatis
alexliap
AI & ML interests
Generative AI + Traditional ML
Recent Activity
liked a Space 3 days ago
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deepreinforce-ai/Ornith-1.0-35B-GGUFOrganizations
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Lora funetuning
#10 opened 27 days ago
by alexliap
reacted to eabdullin's post with 🤗 27 days ago
Post
5724
I’m doing a PhD in AI, which sounds impressive until you realize it mostly means I spend three years trying to make a computer say something slightly less stupid than it said yesterday.
People hear "AI researcher" and they think I’m building the future. No. I’m in a basement at 2 a.m. Googling, "CUDA error what the f**k does this mean."
And the worst part about AI research now is compute. You don’t even ask, "Is this idea good?" anymore. You ask, "Can I afford for this idea to be wrong?"
My advisor comes to me one day and says, "I think we should fine-tune our own language model."
I said, "Professor, with what money? I’m a PhD student. I have two bank accounts: checking and emotionally checking."
He goes, "Don’t worry. We have compute."
Now, in academia, "don’t worry" is never the beginning of a good sentence.
I said, "What do you mean we have compute?"
He said, "My friend knows the cluster admin. He can get us on the GPUs."
I said, "Okay… what do we have to do?"
He goes, "Nothing crazy. Just be very grateful in the acknowledgements."
I said, "How grateful?"
He said, "Maybe put him as co-author."
I said, "Co-author? Are we using the cluster, or is the cluster using us?"
Because at that point, that’s not a favor. That’s academic child support.
So I go to the server room, and the cluster admin walks up to me and goes, "So you’re the NLP student."
And in my head I’m like, "No, tonight you’re the principal investigator. You’re the provider. I’m just a little token waiting to be attended to."
Because whoever controls the GPUs controls the relationship. That’s lab romance.
He starts setting things up, and I’m trying to act casual, but I don’t understand any of the numbers he’s saying.
He’s like, "Yeah, I can probably give you four H100s for the weekend."
I’m nodding like, "Mmm. Four. Weekend. H. One hundred. Absolutely."
Inside I’m like, "Is that good? Is that prison time? Why did he say it like he was offering me organs?"
[Continue in comments...]
People hear "AI researcher" and they think I’m building the future. No. I’m in a basement at 2 a.m. Googling, "CUDA error what the f**k does this mean."
And the worst part about AI research now is compute. You don’t even ask, "Is this idea good?" anymore. You ask, "Can I afford for this idea to be wrong?"
My advisor comes to me one day and says, "I think we should fine-tune our own language model."
I said, "Professor, with what money? I’m a PhD student. I have two bank accounts: checking and emotionally checking."
He goes, "Don’t worry. We have compute."
Now, in academia, "don’t worry" is never the beginning of a good sentence.
I said, "What do you mean we have compute?"
He said, "My friend knows the cluster admin. He can get us on the GPUs."
I said, "Okay… what do we have to do?"
He goes, "Nothing crazy. Just be very grateful in the acknowledgements."
I said, "How grateful?"
He said, "Maybe put him as co-author."
I said, "Co-author? Are we using the cluster, or is the cluster using us?"
Because at that point, that’s not a favor. That’s academic child support.
So I go to the server room, and the cluster admin walks up to me and goes, "So you’re the NLP student."
And in my head I’m like, "No, tonight you’re the principal investigator. You’re the provider. I’m just a little token waiting to be attended to."
Because whoever controls the GPUs controls the relationship. That’s lab romance.
He starts setting things up, and I’m trying to act casual, but I don’t understand any of the numbers he’s saying.
He’s like, "Yeah, I can probably give you four H100s for the weekend."
I’m nodding like, "Mmm. Four. Weekend. H. One hundred. Absolutely."
Inside I’m like, "Is that good? Is that prison time? Why did he say it like he was offering me organs?"
[Continue in comments...]
- 1 reply
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[bot] Conversion to Parquet
#1 opened about 1 month ago
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parquet-converter
upvoted a paper about 2 months ago
published a
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4694
Howdy,
CompactAI-O is launching a tiny Model Golf, and the winner walks away with $50 in RunPod credits. Monthly. Every month. Show up, build, somebody wins.
What it is
Build the best language model you can under 100 million parameters, with at least a 1028-token context window. That's it. Any architecture, any tokenizer, any training scheme you can dream up at 3am. The only catch is it's gotta be open source (MIT, GPL, Apache, AGPL) take your pick.
It scratches the same itch as a Kaggle comp without the dataset\leaderboard nonsense. No fixed benchmark to game. No llama.cpp compatibility hoops. If you wanna train a 50M-param MoE with five experts and a tokenizer built on cookbooks, you can do that. Nothing stopping you.
The rules are listed in the discord and on the organization page if you're interested.
Why $50????
It's symbolic. It ain't gonna make anyone rich. But it's enough to cover a weekend of GPU time, enough to keep enthusiasts coming back, and not so much that it pulls in people who are just there for the money. Enthusiasts build interesting things. Interesting things move the field forward. A little incentive. I'd do it for $50 lol.
How to join
First round opens soon. Landing page is here:
→ https://huggingface.co/spaces/CompactAI-O/Tiny-model-golf
For questions or to swap ideas, the Discord's open:
→ https://discord.gg/y2jTct6Cxv
Excited to see what yall come up with. ♥
— Shane
CompactAI-O is launching a tiny Model Golf, and the winner walks away with $50 in RunPod credits. Monthly. Every month. Show up, build, somebody wins.
What it is
Build the best language model you can under 100 million parameters, with at least a 1028-token context window. That's it. Any architecture, any tokenizer, any training scheme you can dream up at 3am. The only catch is it's gotta be open source (MIT, GPL, Apache, AGPL) take your pick.
It scratches the same itch as a Kaggle comp without the dataset\leaderboard nonsense. No fixed benchmark to game. No llama.cpp compatibility hoops. If you wanna train a 50M-param MoE with five experts and a tokenizer built on cookbooks, you can do that. Nothing stopping you.
The rules are listed in the discord and on the organization page if you're interested.
Why $50????
It's symbolic. It ain't gonna make anyone rich. But it's enough to cover a weekend of GPU time, enough to keep enthusiasts coming back, and not so much that it pulls in people who are just there for the money. Enthusiasts build interesting things. Interesting things move the field forward. A little incentive. I'd do it for $50 lol.
How to join
First round opens soon. Landing page is here:
→ https://huggingface.co/spaces/CompactAI-O/Tiny-model-golf
For questions or to swap ideas, the Discord's open:
→ https://discord.gg/y2jTct6Cxv
Excited to see what yall come up with. ♥
— Shane
- 8 replies
Dataset sources
2
#1 opened about 2 months ago
by alexliap
reacted to HannesVonEssen's post with ❤️ about 2 months ago
Post
11664
📣 Hugging Face Visualizer, now as Chrome extension!
https://hfviewer.com
✨ After installing, Hugging Face model pages will have an architecture visualization on the model page itself!
🔗 Link:
https://chromewebstore.google.com/detail/hugging-face-viewer/mmadlggmpkpiockpjfepaohcllbnakej
Thanks for all the nice feedback so far! ❤️
https://hfviewer.com
✨ After installing, Hugging Face model pages will have an architecture visualization on the model page itself!
🔗 Link:
https://chromewebstore.google.com/detail/hugging-face-viewer/mmadlggmpkpiockpjfepaohcllbnakej
Thanks for all the nice feedback so far! ❤️
- 5 replies