机器之心编辑部就在十几个小时前，DeepSeek 发布了一篇新论文，主题为《Conditional Memory via Scalable Lookup:A New Axis of Sparsity for Large Language Models ...

1月13日消息，今日，DeepSeek发布新论文《Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models》 (基于可扩展查找的条件记忆：大型语言模型稀疏性的新维度)。

DeepSeek于12日晚发布新论文《Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language ...

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

Ollama supports common operating systems and is typically installed via a desktop installer (Windows/macOS) or a ...

Researchers show that LLMs can reproduce copyrighted training data almost verbatim. This means headaches for model providers.

Google announced a breakthrough technology called CALM that speeds up large language models (like GPT-3 and LaMDA) without compromising performance levels. Larger Training Data Is Better But Comes ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...