代码摘要、生成、翻译、修复全覆盖… WaveCoder开启代码智能新篇章
作者：工程与基础架构组 编者按：代码大语言模型（Code LLMs）作为大语言模型与编程领域结合的产物，可以通过自动生成和补全代码帮助开发者快速实现功能。但目前针对代码大语言模型的指令微调方法主要集中在传统的代码生成任务上，忽略了模型在处理复杂多任务场景中的表现。为此，来自微软亚洲研究院的研究员们开发了 WaveCoder 模型，其使用包含19,915个指令、涵盖4个代码任务的数据集 CodeSe...
Innovations in AI: Brain-inspired design for more capable and sustainable technology
| Dongsheng Li, Dongqi Han, and Yansen Wang
Researchers and their collaborators are drawing inspiration from the brain to develop more sustainable AI models. Projects like CircuitNet and CPG-PE improve performance and energy efficiency by mimicking the brain's neural patterns.
Research Focus: Week of August 26, 2024
Learn what’s next for AI at Research Forum on Sept. 3; WizardArena simulates human-annotated chatbot games; MInference speeds pre-filling for long-context LLMs via dynamic sparse attention; Reef: Fast succinct non-interactive zero-knowledge regex proofs.
集成大语言模型与产业数据智能，迈向“产业基础模型”
作者：机器学习组 编者按：随着数据量和模型规模的增加，大语言模型在指令执行、知识存储、逻辑推理和编程技能等方面展现出了突破性的能力。然而，大语言模型在产业领域的潜能尚未得到充分挖掘，特别是在满足产业数据分析、推理、预测、决策等数据智能需求方面。如何有效地变革各行业的数据模型及智能的构建方法与应用范式，仍然面临诸多挑战。为应对这些挑战，微软亚洲研究院提出了构建产业基础模型的倡议，其核心理念在于通过持...
人工智能技术正在不断突破我们的想象空间，并逐渐成为推动社会变革和科技进步的核心力量。在即将到来的 Microsoft Research Forum 第四期中，来自微软研究院不同实验室的研究员们将带大家了解最新的多模态 AI 模型、先进的 AI 评估基准和模型自我改进技术，以及全新的 AI 推理和复杂优化计算机，并与大家共同探讨 AI 模型将如何助力从天气预测到材料设计等各领域的进步。 本期 Mic...
What’s Your Story: Lex Story
| Johannes Gehrke and Lex Story
Model maker and fabricator Lex Story helps bring research to life through prototyping. He discusses his take on failure; the encouragement and advice that has supported his pursuit of art and science; and the sabbatical that might inspire his next…
In the news | Axios
Shedding light on AI’s black box
Scientists are opening generative AI's black box and beginning to understand the models' inner workings. Why it matters: The prospect of harnessing genAI to make decisions and perform tasks is pushing researchers to better understand how AI systems work —…
In the news | Fierce Network
To overcome AI grounding challenges, we must dig deeper
Grounding AI models is like giving them a map to navigate the world, but what happens when that map isn’t up to date or misses crucial details? That's the problem hyperscalers and AI leaders are now trying to solve. As…
开启因果发现新范式！解密复杂系统的核心机制
作者：DKI组 编者按：在当今数据驱动的世界，理解复杂系统中的因果关系是科学研究和实际应用中的关键挑战。在人工智能领域，因果推理能力更是成为一个热门话题。如何揭示数据背后因果机制的关键？如何利用数据实现因果发现的突破？为回答这些问题，来自微软 DKI（Data, Knowledge and Intelligence，数据、知识与智能）领域的研究员们在进行了持续而深入的探索，其相关成果发表在 AAA...