Tagged "on-device-fine-tuning"
4 articles tagged on-device-fine-tuning, 18 February 2026 to 2 August 2026. Newest first.
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NVIDIA AI Releases Molt: A PyTorch-Native Agentic Reinforcement Learning Framework
NVIDIA introduces Molt, a new reinforcement learning framework designed for PyTorch environments, enabling more sophisticated agent development for local and distributed LLM deployments.
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Tether's QVAC Introduces Cross-Platform Bitnet LoRA Framework for On-Device AI Training
A new cross-platform BitNet LoRA framework enables efficient fine-tuning of language models directly on edge devices. This development significantly reduces the computational overhead required for on-device model adaptation and training.
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Apple Launches MacBook Neo with A18 Pro Chip for Affordable Local AI Inference
Apple's new MacBook Neo features the A18 Pro chip, bringing improved on-device ML capabilities to its most affordable laptop tier. The device enables local LLM inference through Apple's optimized frameworks.
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Matmul-Free Language Model Trained on CPU in 1.2 Hours
Researcher demonstrates training a 13.6M parameter language model entirely on CPU without matrix multiplications, achieving training time of just 1.2 hours with a working model available on Hugging Face.