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Neural-Hacker new activity about 5 hours ago

IndianAIDevs/README:Let's Talk about AI

kalashshah19 new activity 1 day ago

IndianAIDevs/README:Let's Talk about AI

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IndianAIDevs/README:Let's Talk about AI

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Neural-Hacker

in IndianAIDevs/README about 5 hours ago

Let's Talk about AI

#1 opened 5 months ago by

kalashshah19

in IndianAIDevs/README 1 day ago

Let's Talk about AI

#1 opened 5 months ago by

kalashshah19

Abhaykoul

in IndianAIDevs/README 7 days ago

Let's Talk about AI

#1 opened 5 months ago by

kalashshah19

JDhruv14

in IndianAIDevs/README 11 days ago

Let's Talk about AI

#1 opened 5 months ago by

kalashshah19

vasistha2k

in IndianAIDevs/README 11 days ago

Let's Talk about AI

#1 opened 5 months ago by

kalashshah19

JDhruv14

in IndianAIDevs/README 11 days ago

Appriciation to Indian AI Developers

🔥 2

#3 opened 4 months ago by

kalashshah19

Jainam-11

in IndianAIDevs/README 12 days ago

Let's Talk about AI

#1 opened 5 months ago by

kalashshah19

Parveshiiii

posted an update 16 days ago

Post

3537

Hey everyone!
We’re excited to introduce our new Telegram group: https://t.me/XenArcAI

This space is built for **model builders, tech enthusiasts, and developers** who want to learn, share, and grow together. Whether you’re just starting out or already deep into AI/ML, you’ll find a supportive community ready to help with knowledge, ideas, and collaboration.

💡 Join us to:
- Connect with fellow developers and AI enthusiasts
- Share your projects, insights, and questions
- Learn from others and contribute to a growing knowledge base

👉 If you’re interested, hop in and be part of the conversation: https://t.me/XenArcAI

12 replies

kalashshah19

in IndianAIDevs/README 16 days ago

Welcomes and Greetings

#2 opened 5 months ago by

kalashshah19

KingNish

posted an update 27 days ago

Post

2436

Muon vs MuonClip vs Muon+Adamw

Muon has gone from an experiment to a mainstream optimizer, but does it hold up for fine‑tuning? We ran head‑to‑head tests on Qwen3‑4B (10k+ high‑quality instruction rows) to find out.

Short story: Pure Muon converged fastest at the start, but its gradient‑norm spikes made training unstable. MuonClip (Kimi K2’s clipping) stabilizes long pretraining runs, yet in our small‑scale fine‑tune it underperformed, lower token accuracy and slower convergence. The winner was the hybrid: Muon for 2D layers + AdamW for 1D layers. It delivered the best balance of stability and final performance and even beat vanilla AdamW.

Takeaway: for small-scale fine-tuning, hybrid = practical and reliable.

Next Step: scale to larger models/datasets to see if Muon’s spikes become catastrophic or if clipping wins out.

Full Blog Link: https://huggingface.co/blog/KingNish/optimizer-part1

KingNish

posted an update 29 days ago

Post

2489

I tested Muon vs MuonClip vs Muon+AdamW for fine-tuning LLMs
Just published a blog on that, Read here 👉 https://huggingface.co/blog/KingNish/optimizer-part1

1 reply

Parveshiiii

posted an update about 2 months ago

Post

1643

Another banger from XenArcAI! 🔥

We’re thrilled to unveil three powerful new releases that push the boundaries of AI research and development:

🔗 XenArcAI/SparkEmbedding-300m

- A lightning-fast embedding model built for scale.
- Optimized for semantic search, clustering, and representation learning.

🔗 XenArcAI/CodeX-7M-Non-Thinking

- A massive dataset of 7 million code samples.
- Designed for training models on raw coding patterns without reasoning layers.

🔗 XenArcAI/CodeX-2M-Thinking

- A curated dataset of 2 million code samples.
- Focused on reasoning-driven coding tasks, enabling smarter AI coding assistants.

Together, these projects represent a leap forward in building smarter, faster, and more capable AI systems.

💡 Innovation meets dedication.
🌍 Knowledge meets responsibility.

nauman-tih

authored 2 papers about 2 months ago

BhashaBench V1: A Comprehensive Benchmark for the Quadrant of Indic Domains

Paper • 2510.25409 • Published Oct 29, 2025 • 3

AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda

Paper • 2511.02374 • Published Nov 4, 2025 • 3

Parveshiiii

posted an update about 2 months ago

Post

3045

SparkEmbedding - SoTA cross lingual retrieval

Iam very happy to announce our latest embedding model sparkembedding-300m base on embeddinggemma-300m we fine tuned it on 1m extra examples spanning over 119 languages and result is this model achieves exceptional cross lingual retrieval

Model: XenArcAI/SparkEmbedding-300m

kalashshah19

in IndianAIDevs/README 3 months ago

General

#5 opened 3 months ago by

kalashshah19

Abhaykoul

in IndianAIDevs/README 3 months ago

General

#5 opened 3 months ago by

kalashshah19

Neural-Hacker

in IndianAIDevs/README 3 months ago

General

#5 opened 3 months ago by

kalashshah19

Parveshiiii

posted an update 3 months ago

Post

212

AIRealNet - SoTA - Image detection model

We’re proud to release AIRealNet — a binary image classifier built to detect whether an image is AI-generated or a real human photograph. Based on SwinV2 and fine-tuned on the AI-vs-Real dataset, this model is optimized for high-accuracy classification across diverse visual domains.

If you care about synthetic media detection or want to explore the frontier of AI vs human realism, we’d love your support. Please like the model and try it out. Every download helps us improve and expand future versions.

Model page: XenArcAI/AIRealNet

JDhruv14

in IndianAIDevs/README 3 months ago

General

#5 opened 3 months ago by

kalashshah19

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