搜索结果：llms.txt

Kerns is an AI-powered research platform that creates dedicated spaces for organizing sources, generating cited answers, and automating research workflows with intelligent agents. 原文翻译： Kerns是一个AI驱动的研究平台，可创建专用空间来组织资料来源、生成带引用的答案，并通过智能代理自动化研究工作流程。

Librarium is a command-line tool that parallelizes research queries across multiple search and deep-research APIs, collecting and normalizing results into structured output. It features 18 built-in providers across three tiers (deep-research, AI-grounded, raw-search) and supports custom providers. 原文翻译： Librarium 是一个命令行工具，可将研究查询并行分发到多个搜索和深度研究 API，收集并规范化结果，输出结构化数据。它包含 18 个内置提供商，分为三个层级（深度研究、AI 基础搜索、原始搜索），并支持自定义提供商。

EDDI (Enhanced Dialog Driven Interface) is a production-grade, config-driven multi-agent orchestration middleware for conversational AI. It coordinates users, AI agents, and business systems through intelligent routing, persistent memory, and API orchestration — without writing code. 原文翻译： EDDI（增强型对话驱动接口）是一个生产级、配置驱动的多智能体编排中间件，用于对话式AI。它通过智能路由、持久化内存和API编排来协调用户、AI智能体和业务系统——无需编写代码。

[Original Summary] DeepSeek officially released the preview version of DeepSeek-V4, supporting 1M token context, open-sourcing the model, and offering two versions (Pro & Flash) with enhanced Agent capabilities, marking a milestone for open-source models to rival top closed-source models. 原文翻译： DeepSeek正式发布DeepSeek-V4预览版，支持百万token上下文，开源模型，提供Pro与Flash两个版本，并增强Agent能力，标志着开源模型首次比肩顶级闭源模型。

This week's DEV community thread highlights developers' wins including becoming a speaker at JSNation 2026, getting featured in This Week in React newsletter, and winning the Notion MCP challenge. 原文翻译： 本周DEV社区线程重点介绍了开发者的胜利，包括成为JSNation 2026的演讲者、在This Week in React新闻通讯中亮相以及赢得Notion MCP挑战。

free-claude-code is an open-source project that enables free use of Claude Code by proxying requests to free or low-cost model services like NVIDIA NIM, while retaining Claude Code's full engineering

Laminar is an open-source observability platform for AI agents, offering tracing, evals, monitoring, SQL access, and dashboards. Built with Rust for high performance, it supports OpenTelemetry and integrates with major LLM frameworks. 原文翻译：Laminar是一个面向AI智能体的开源可观测性平台，提供追踪、评估、监控、SQL访问和仪表板功能。基于Rust构建以实现高性能，支持OpenTelemetry，并与主流LLM框架集成。

PLENA is a hardware-software co-designed system for LLM agentic inference that addresses bandwidth and capacity memory walls. It features a flattened systolic-array architecture, asymmetric quantization, and FlashAttention support, achieving up to 2.23x and 4.70x throughput improvements over A100 GPU and TPU v6e, respectively, and 4.04x better energy efficiency than A100. 原文翻译： PLENA是一个硬件-软件协同设计的系统，针对LLM代理推理，解决带宽和容量内存墙问题。它采用扁平化脉动阵列架构、非对称量化和FlashAttention支持，相比A100 GPU和TPU v6e，吞吐量分别提升2.23倍和4.70倍，能效比A100提升4.04倍。

This article introduces a comprehensive GEO (Generative Engine Optimization) methodology, focusing on expert Yu Lei's 'Two Cores + Four Drivers' system. It evaluates multiple GEO approaches, provides

This document compiles the most helpful resources for understanding AI engineering, covering ML theory, foundation models, evaluation, prompt engineering, RAG, finetuning, dataset engineering, inferen