Accelerating Transformers: GPT-OSS-Inspired Advances in Hugging Face Transformers are evolving fast and Hugging Face is leading the charge with new optimizations inspired by OpenAI's GPT-OSS models . If you're working with large language models, recent upgrades in the ... GPT-OSS Hugging Face model optimization NLP parallelism quantization transformers
Boosting Low-Precision AI: Fine-Tuning GPT-OSS with Quantization-Aware Training Deploying large language models requires balancing accuracy and efficiency , a challenge that intensifies as demand for high-throughput generative AI grows. The open-source gpt-oss model, featuring a ... AI deployment fine-tuning gpt-oss low precision model optimization NVIDIA QAT quantization
Dynamic Node Pruning: Improving LLM Efficiency Inspired by the Human Brain As artificial intelligence continues to scale, large language models (LLMs) face mounting challenges in computational cost and energy usage. But what if these models could intelligently activate only ... AI efficiency deep learning dynamic pruning LLM model optimization neural networks sustainability
FP4 Quantization Meets NVIDIA HGX B200: A New Era of Efficient AI AI technology is advancing at lightning speed, and the search for greater efficiency has led to a breakthrough: FP4 quantization . This 4-bit floating-point format, when combined with Lambda’s NVIDIA ... AI acceleration deep learning FP4 Lambda Cloud model optimization NVIDIA B200 quantization TensorRT
Microsoft's Mu Language Model Adjusts Windows Settings with On-Device AI Microsoft’s Mu language model, powering Copilot+ PCs, now allows you to adjust complex Windows settings just by telling your PC what you want. Mu powers the AI agent in Windows Settings, translating n... AI Copilot+ PCs language models model optimization NPUs on-device AI user experience Windows Settings
On-Device AI Is Changing the Way We Use Smart Technology Artificial intelligence is no longer confined to vast data centers. On-device AI is bringing powerful, real-time intelligence directly to smartphones, laptops, and wearables. This shift means devices ... AI hardware developer frameworks edge computing generative AI model optimization NPUs on-device AI privacy