Akash Singh
akashicmarga
AI & ML interests
Conversational AI
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14 days ago
A few days ago, Thinking Machines Lab released “LoRA Without Regret”, showing that LoRA can match full fine-tuning performance when configured right.
Naturally, we decided to reproduce the results with TRL and release a guide!
https://huggingface.co/docs/trl/main/en/lora_without_regret
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5 months ago
microsoft/Phi-4-multimodal-instruct
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collection
7 months ago
🔊 Audio model 2025
Organizations
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Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers
Paper • 2312.03694 • Published • 2 -
FaceStudio: Put Your Face Everywhere in Seconds
Paper • 2312.02663 • Published • 33 -
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Paper • 2402.07033 • Published • 17 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 188
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Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers
Paper • 2312.03694 • Published • 2 -
FaceStudio: Put Your Face Everywhere in Seconds
Paper • 2312.02663 • Published • 33 -
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Paper • 2402.07033 • Published • 17 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 188
datasets
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