In a Training Loop 🔄

Reuben fernandes PRO

Reubencf

http://reuben-fernandes.xyz/

AI & ML interests

LLM

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reacted to theirpost with 🤗 about 4 hours ago

Tiny Maple is now live on iOS and Android. The app introduces the @Coherelabs Tiny Aya series of multilingual AI models to mobile devices. This release is significant as it enhances access to multilingual AI from anywhere, particularly for users who prefer offline capabilities. I invite you to try it and share your feedback. App Store: https://apps.apple.com/bn/app/tiny-maple/id6774123088 Google Play: https://play.google.com/store/apps/details?id=com.reubencf.tinyaya

posted an update about 4 hours ago

liked a Space about 16 hours ago

build-small-hackathon/OpenMythos

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reacted to their post with 🤗 about 4 hours ago

Post

Tiny Maple is now live on iOS and Android.

The app introduces the @Coherelabs Tiny Aya series of multilingual AI models to mobile devices. This release is significant as it enhances access to multilingual AI from anywhere, particularly for users who prefer offline capabilities.

I invite you to try it and share your feedback.

App Store: https://apps.apple.com/bn/app/tiny-maple/id6774123088

Google Play: https://play.google.com/store/apps/details?id=com.reubencf.tinyaya

posted an update about 4 hours ago

Post

Tiny Maple is now live on iOS and Android.

The app introduces the @Coherelabs Tiny Aya series of multilingual AI models to mobile devices. This release is significant as it enhances access to multilingual AI from anywhere, particularly for users who prefer offline capabilities.

I invite you to try it and share your feedback.

App Store: https://apps.apple.com/bn/app/tiny-maple/id6774123088

Google Play: https://play.google.com/store/apps/details?id=com.reubencf.tinyaya

reacted to their post with 🚀😎 7 days ago

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2034

Millions speak Konkani. The internet barely knows it.

Today's major LLMs struggle with regional languages. They can't read, write or even recognize Konkani. So I built one that can.

Here is a working demo of the Konkani LLM I've been training. 👇

https://youtu.be/8K04ylbXh6k

reacted to eabdullin's post with 🧠👍 7 days ago

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6164

Folks, let me tell you, nobody — and I mean NOBODY — knew transformers before me. People said attention is all you need. I said, "Attention? I INVENTED attention." Everybody's looking at me. Tremendous attention. The best attention scores. My softmax? Perfectly normalized. Other people, sad, their probabilities don't even sum to one. Disaster.

I'm doing a PhD now. A PhD! In Large Language Models. Very large. The largest, believe me. My advisor said, "Sir, your model is overfitting." I said, "Wrong. It's fitting EXACTLY right. It memorized the training set because the training set is fantastic." We don't talk about validation loss in my lab. Validation loss is fake news.

And the internship — oh, the internship. Big tech. I won't say which. Starts with a letter. They BEGGED me. They said, "Please, we need someone who understands gradient descent." I said, "Descent? I only go UP. I'm gradient ASCENT. Loss goes up, that means it's learning to be a winner."

But the GPU cluster — this is the best part. Thousands of H100s. Maybe millions. Who's counting? I'm counting. It's a lot. Other PhD students, they get one little GPU, they're crying, they're training overnight like losers. Me? I burn through compute like nobody's ever seen. The electric company called. They said, "Sir, you've consumed a small country." I said, "Make it a big country. I only do big."

People ask, "Did your model converge?" Folks, it converged so hard. It converged BIGLY. Honestly? My loss curve, it's beautiful, it's going down, down, down — like my approval ratings, very smooth, don't look at the spikes, the spikes are deep state.

And hallucinations? My model doesn't hallucinate. It just has ALTERNATIVE tokens. Thank you, thank you. Tip your reviewers. Accept my paper. Goodnight!

16 replies

posted an update 8 days ago

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2034

reacted to Crownelius's post with 🔥 27 days ago

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4681

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

8 replies

replied to their post 28 days ago

thanks @Rex1246

replied to their post 28 days ago

thank you very much

replied to their post 29 days ago

thanks a lot @bhagathgoud

reacted to their post with 🔥 30 days ago

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4695

I have improved my Portfolio please do check it out
Reubencf/Portfolio

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reacted to their post with 🤗 about 1 month ago

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4695

I have improved my Portfolio please do check it out
Reubencf/Portfolio

6 replies

posted an update about 1 month ago

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4695

I have improved my Portfolio please do check it out
Reubencf/Portfolio

6 replies

reacted to cesear64's post with 🧠👀🔥 about 1 month ago

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4129

Just published: how we built production Sango (Central African Republic) translation without fine-tuning, parallel corpus, or training compute.

The method — vocabulary-augmented prompting with a 581-entry native-speaker-verified lexicon — generalizes to any of the ~2,000 African languages at the same data-poverty level. Recipe, dataset, and code template all included.

📄 Blog: https://huggingface.co/blog/MEYNG/sangoai
📦 Dataset: MEYNG/sango-vocabulary

Would especially value feedback from anyone working on other low-resource African languages — Ewondo, Lingala, Wolof next on our roadmap.

2 replies

reacted to Aurelien-Morgan's post with 🔥 about 1 month ago

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1090

@retrain-pipelines v0.2.0 is out !
I'm at Station F at My booth with GOSIM Paris 2026 today & tomorrow.
Come meet me for a live in-person demo and a chat !

1 reply

reacted to Shrijanagain's post with ❤️🔥 3 months ago

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6920

SOME NEW HINDI + ENGLISH DATASETS

🔗
- sKT-Ai-Labs/HIN
- sKT-Ai-Labs/SKT-MIX
- sKT-Ai-Labs/ST-H

Download and Use And Train Models

You Can Alsoo Use ST-x-LIGHTING Module For Faster Training

pip install ST-x-LIGHT-V11

2 replies

Reuben fernandes PRO

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