腾讯网

信息检索重排序技术深度解析：Cross-Encoders、ColBERT与大语言模型方法 ...

现代搜索系统的核心挑战不仅在于从海量文档集合中检索相关信息，更在于对检索结果进行精准排序，确保用户能够快速、可靠且经济高效地获得所需信息。在面对不同重排序技术方案时，工程师们需要在延迟性能、硬件资源消耗、系统集成复杂度以及用户体验 ...
腾讯网

用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

点击上方“Deephub Imba”,关注公众号,好文章不错过 !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 ...
아시아경제

SKT Unveils Two Multimodal and Document Interpretation Technologies Based on Proprietary LLM

SK Telecom has unveiled a universal document interpretation technology for vision-language model (VLM) and large language model (LLM) training, based on its proprietary large language model, A.Dot X ...
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 ...
TechRadar

Students, here are 5 key things to know when learning how to train large language models

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Large language models (LLMs) are currently all the rage. These artificial intelligence (AI) ...
GIGAZINE

Apple unveils its proprietary visual language model 'FastVLM' that achieves high levels of ...

Apple has announced its own visual language model (VLM), ' FastVLM '. Conventional VLMs have the problem of decreasing efficiency as their accuracy increases, but FastVLM maintains high accuracy while ...