Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

SBC News sits down with 1xBet’s Strategic Advisor Simon Westbury about 2025, his first six months in the role, player ...

Take a look back on some of our takes from this year's SBC Summits plus the Gaming in Holland and Gaming in Germany ...

Explore the legal and technical hurdles in filing Updated Returns under Section 139(8A), including Excel utility dependencies and procedural ...

2026年的AI范式或许已悄然发生了剧变。在过去的一年里，人工智能领域的长文本处理能力经历了前所未有的飞速发展。从128k到1M再到10M的上下文窗口（Context Window）内卷化过程，表面上看似技术的进步，但实际上却隐藏着深层次的问题。基于Transformer注意力机制的线性扩张，正面临着物理与效果的双重边际递减，这让我们不得不重新思考AI的未来。

2025年的最后一天， MIT CSAIL提交了一份具有分量的工作。当整个业界都在疯狂卷模型上下文窗口（Context ...

其核心思想是借鉴计算机科学中的“外存算法” (Out-of-core algorithms)，不要把长 Prompt 直接喂给神经网络，而是把它放在一个外部的 Python REPL 环境里。 Prompt 被加载为环境中的变量context 。模型不再像以前那样生吞整个字符串，而是通过编写代码（如len (context) , context.split , re.search ）来按需读取数据 ...