New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no fluff, no jargon. BERT is a Transformer based model, so you need to have a ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

TranslateGemma的发布，标志着语言服务从“中心化云处理”迈入“分布式端侧智能”的新纪元。当1B参数的小模型在手机芯片上流畅运行，当斯瓦希里语的古老谚语通过6nm制程的NPU获得新生，我们见证的不仅是Natural Language ...

在 Transformer 架构的基础上，微云全息基于“Masked 预训练”策略。这种策略最初源于 BERT 模型在语言理解任务中的成功经验，被证明能够有效捕捉序列中元素间的深层次关系。微云全息研究团队将其迁移到红外光谱数据建模中，提出了一种自监督学习框架，用于从大规模无标签的红外光谱数据中自动学习鲁棒特征。