With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful ...

Abstract: Precipitation nowcasting provides precipitation intensity and coverage estimates over a short future period. Accurate precipitation nowcasting is essential for agriculture, flood warnings, ...

其中，第1章简单介绍 NLP 的基本任务和发展，为非 NLP 领域研究者提供参考；第2章介绍 LLM 的基本架构——Transformer，包括原理介绍及代码实现，作为 LLM 最重要的理论基础；第3章整体介绍经典的 PLM，包括 Encoder-Only、Encoder-Decoder 和 Decoder-Only 三种架构，也同时介绍了当前一些主流 LLM 的架构和思想；第4章则正式进入 ...

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本项目适合大学生、研究人员、LLM 爱好者。在学习本项目之前，建议具备一定的编程经验，尤其是要对 Python ...

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely a mystery. By Carl Zimmer In 2024, two scientists from Google DeepMind ...

Abstract: Recently, Automated Vulnerability Localization (AVL) has attracted growing attention, aiming to facilitate diagnosis by pinpointing the specific lines of code responsible for vulnerabilities ...