腾讯网

用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。 本文的目标是让你真正 ...
Analytics Insight

Best Generative AI Libraries for Developers in 2026

Overview: Generative AI development now involves layered stacks combining training, orchestration, multimodal generation, and ...
来自MSN

PyTorch 2.8发布：LLM推理性能大幅提升，Intel GPU分布式后端实验性支持上线

PyTorch，这一广受欢迎的开源机器学习框架，近期正式推出了其最新版本——2.8版。此次版本更新聚焦于提升量化大语言模型（LLM）在Intel CPU上的推理性能，吸引了众多开发者和研究人员的目光。 在PyTorch 2.8中，开发者团队通过算法优化和技术革新，显著提高了 ...
Semiconductor Engineering

NPU Acceleration For Multimodal LLMs

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...
HotHardware

Intel Arc GPUs Just Brought A Big Boost To Pytorch For Llama 2

A lot of people will tell you that PyTorch is for NVIDIA GPUs, but that's not actually true. PyTorch is platform-agnostic; it's just that many packages built on PyTorch make heavy use of NVIDIA's CUDA ...
NextBigFuture

Setting Up Nvidia Jetson Nano, Install Pytorch and Start Working With LLMs

Youtuber Ominous Industries provides a training video for setting up your Jetson Nano, installing Pytorch and setting up your own (likely open source LLM). This takes ...