点击上方“Deephub Imba”,关注公众号,好文章不错过 !2025年LLM领域有个有意思的趋势：与其继续卷模型训练，不如在推理阶段多花点功夫。这就是所谓的推理时计算（Test-Time / Inference-Time ...

Green snakes are among the most fascinating reptiles on Earth, not only because of their bright colouration but also due to their role in the ecosystem. Green snakes inhabit all of North America, ...

Apple’s Xcode 26.3 adds Claude Agent SDK integration, enabling autonomous AI coding and visual verification while reshaping ...

High up from the forest floor, birds flit from limb to limb and weave their homes from leafy foliage, seemingly safe from predators that might be lurking in the forest below. But certain species of ...

Stocks like Bharti Airtel, Tata Motors Passenger Vehicles, Berger Paints India, Hero MotoCorp, FSN E-Commerce Ventures Nykaa, ...

The Wonders of Australia gold and silver coins feature an opal on the center of the reverse, drawing attention to what is ...

FORT WORTH, TX, UNITED STATES, January 13, 2026 /EINPresswire.com/ — Vadzo Imaging has introduced the MerlinPlus-234CGS, an ...

Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your ...

Anthropic分享了一份技术Blog:《Building Agents with Skills: Equipping Agents for Specialized Work》，解释为什么停止构建专门的Agents，转而开始构建技能（Skills），以及这种转变如何改变我们对扩展Agents能力的思考方式。

自2025年初DeepSeek R1模型发布以来，强化学习（RL）在大型语言模型（LLM）的后训练范式中受到越来越多的关注，R1的突破性在于引入了可验证奖励强化学习（RLVR），通过构建数学题、代码谜题等自动验证环境，使模型在客观奖励信号的驱动下，自发地演化出与人类推理策略高度相似的思维方式。