揭秘AI Agent四层架构：多数产品级AI“显笨”的原因不在模型，而在上下文管理与循环机制。
TL;DR AI agents in real products fall into 4 levels: LLM wrapper → intent classifier → context-aware → agent loop. Most "AI agents" you meet in produc…
不同编程语言如何影响LLM性能？一文揭晓关键对比数据与实战结论。
Article URL: https://gertlabs.com/blog/llm-performance-by-language Comments URL: https://news.ycombinator.com/item?id=48175083 Points: 4 # Comments: 1
用ChatGPT快速摘要和解释这篇关于RoPE局限性的技术论文，无需专业背景即可抓住核心结论
arXiv:2605.15514v1 Announce Type: cross Abstract: We identify intrinsic limitations of Rotary Positional Embeddings (RoPE) in Transformer-based long-c…
面向金融领域的分层LLM评估基准，覆盖专业知识与技术分析，补足现有基准缺口。
arXiv:2605.15482v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being applied to financial analysis, reporting, investme…