AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Sakana AI has released Fugu Max and Fugu Ultra v2, 2 models built on the same learned orchestration architecture. Fugu Max routes tasks to lean open and specialized models, including NVIDIA Nemotron, at $2/$6 per 1M tokens. Fugu Ultra v2 targets peak capability, scoring 48.3 on Chartography and 74.3 on DeepSWE. The post Sakana AI Launches Fugu Max and Fugu Ultra v2 for Cheaper, Stronger Multi-Agent Orchestration appeared first on MarkTechPost.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：See how Credit Genie uses OpenWiki to automate repo documentation, reduce tribal knowledge, and give engineers and coding agents searchable codebase context.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09503v1 Announce Type: new Abstract: Rapid bespoke commissioning of the Cognitive Digital Twin (CDT) is a major challenge in reconfigurable manufacturing. Traditional digital twin (DT) construction methods primarily focus on geometric reconstruction, often neglecting the deep semantic integration and functional interoperability necessary for autonomous reasoning. This paper proposes an agent-based, AI-driven workflow to automate end-to-end CDT debugging. The system utilises LangGraph as a multi-agent orchestration engine to achieve dual-path synthesis: the semantic path extracts technical specifications from unstructured documents using Retrieval Augmented Generation (RAG), while the functional path autonomously discovers and binds to real-time indus…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn how Connections in Managed Deep Agents securely manage credentials, support per-user OAuth, and let agents act with each caller’s identity.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.28675v1 Announce Type: new Abstract: Video reasoning tasks such as grounded video question answering and temporal grounding require selecting temporal evidence that supports the query. In many current training setups, temporal supervision is applied through local objectives such as boundary regression or span generation, while verification is used mainly to rerank candidate segments at inference time. We study whether a frozen verifier can also guide training. Our multi-agent framework couples a trainable \emph{Grounder} with a frozen \emph{Verifier}: the Grounder samples candidate trajectories and evidence segments, the Verifier assigns query-conditioned segment scores, a group-relative policy-gradient objective favors trajectories that outperform t…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.28597v1 Announce Type: new Abstract: Online surveys are a foundational data collection instrument in a variety of fields, with attention checks serving as critical guardians of response quality. However, the rapid emergence of agentic AI (goal directed systems powered by a large language model (LLM) brain and/or a multimodal processing unit with tool-augmented capabilities) raises new questions about the robustness of these safeguards. We investigate how well agentic AI architectures can complete web-based surveys and pass standard attention checks. We evaluate a single-agent architecture capable of multimodal input processing and tool-based web interaction on a controlled survey sandbox. We analyze the problem from two perspectives. From an attack p…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Wiz PricingGet a demo Get a demo Wiz Threat Research operates honeypots across AI and ML services including LiteLLM, Flowise, LangChain, Langflow, ChromaDB, Ollama, and others. Over 90 days of telemetry, we observed sus…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Professional MIDI orchestration plugin Turn your MIDI into a full orchestra. ShevtoneAudio Orchestrator is a professional local MIDI orchestration tool built for composers working in film, trailer, television, games and…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.26238v1 Announce Type: new Abstract: Native 3D generators now recover impressive mesh geometry from a single image. However, a dense mesh stays soft where a machined object should be sharp, it carries no part decomposition, and it exposes no parameter a user could edit. To address this, we explore the paradigm of 3D shape as code, leveraging and scaling the coding ability of an LLM for 3D modeling. We introduce Procedura, a novel 3D modeling agent framework that writes an object as a procedural assembly, a parametric program whose named parts are joined by typed, machine-checkable mates. From a text prompt, the agent plans the object as an assembly graph and writes the program part by part, solving each placement from the mated frames rather than gue…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Research August 27, 2026 For long-horizon agents, model capability alone does not determine system capability. Infrastructure orchestration multiplies what models can do. INT21’s SwarmOS tested this hypothesis on the AR…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.24934v1 Announce Type: new Abstract: Accurate field plant disease diagnosis requires reliable fusion of uncertain and conflicting perceptual evidence. We present the Hybrid Hierarchical Multi-Agent Framework (H$^{2}$MAF), combining decision-level fusion of EfficientNet-B3 and ConvNeXt-Tiny with semantic arbitration by open-weight multimodal large language models (MLLMs), Gemma 4 E4B and Qwen3.5 4B, using structured JSON evidence to generate explainable diagnoses, risk levels, treatment urgency, and financial exposure. (H$^{2}$MAF) is evaluated on 14,364 images (1,370 test images) across PlantDoc (2,922 images, 27 classes) and two non-public, continuously captured Cornell robot-acquired field datasets: Stage 2 (20 GB; 4,215 images) and Stage 4 (40 GB;…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Managed Deep Agents and LLM Gateway hit public beta, plus Deep Agents v0.7, Tuned Evaluators, Bring Your Own Cloud on AWS, and LangSmith Engine upgrades.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the service can score it, whether you use LangGraph, LlamaIndex, the OpenAI Agents SDK, Google ADK, the Claude Agent SDK, or Strands Agents. This post explains how the framework-agnostic contract works.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：You’ve shipped a working chat feature. Now comes the hard part: figuring out which framework actually fits your production architecture. The tooling landscape has fractured, and comparing AI agent frameworks in a vacuum…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Dive into LangSmith product usage patterns that show how the AI ecosystem and the way people are building LLM apps is evolving.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Reflections on how LangChain has evolved — including our products, ecosystem, and community — over the past two years, and where we're headed next.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering intervention by 90%.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build, deploy, and monitor production-grade AI agents at scale with LangChain's enterprise agentic AI platform integrated with NVIDIA.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn proven strategies to speed up your AI agent: reduce latency, optimize LLM calls, enable parallelism, and improve UX. Expert tips from LangChain.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：LangGraph Platform, our infrastructure for deploying and managing agents at scale, is now generally available. Learn how to deploy
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless in another account, without copying source data. This post covers the architecture, security boundary, and two orchestration models: a code-based Strands agent and a declarative AgentCore harness.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We built WikiBench to test whether generated wikis help coding agents. Pairing a wiki with source code scored higher than source alone, at lower cost.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Why LangChain believes in open, customizable cognitive architectures over closed systems. Build reliable LLM agents with OpenGPTs and LangSmith.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it, says Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications. "In the rush to deploy AI, organizations have largely bolted conversational AI onto legacy systems," Anand says. "As a result, while many enterprises have adopted digital tools, very few have platforms that are truly integrated, scaled, and capable of seamless orchestration." That gap creates a heavy cognitive load for human agents who must piece together context across disjointed tool…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discover Connery: open-source plugin infrastructure for LLM apps. Secure integrations, personalization, and human-in-the-loop control for AI agents.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Qdrant and LangChain deliver production-ready RAG performance with async support, optimized resource usage, and scalable vector search for LLM apps.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Data-driven-characters is a repo for creating, debugging, and interacting your own chatbots conditioned on your own story corpora.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Access multiple LLMs, embeddings, and AI tools through Eden AI's LangChain integration. Unified API for text generation, OCR, speech-to-text, and more.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discover how developers build LLM applications in 2023. Insights on popular models, vectorstores, retrieval strategies, and testing methods from LangSmith.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build production-ready AI agents with LangChain. Technical guide covering OpenAI functions, tools, prompts, and architecture for Cal.ai's scheduling assistant.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Auto-evaluate LLM question-answer chains with LangChain's free tool. Generate test sets, grade answers, and optimize chain performance.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Implement OpenAI's proven RAG strategies with LangChain. Explore query transformations, routing, post-processing, and evaluation methods for optimal retrieval.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Explore how LangChain implements autonomous agents like AutoGPT and BabyAGI. Learn about planning techniques, memory systems, and agent simulations.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.23622v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation. They require understanding how a system responds to intervention, which in practice depends on controlled experimentation. In this work, we propose a multi-agent framework that enables LLM agents to conduct controlled experiments with scientific simulation models for pharmaceutical process design. Given a user query and a baseline configuration, the system constructs a structured task representation, designs experiments, executes comparative simulation, interprets the resulting outcomes, and synthesizes evidence-based recom…
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Learn how to fine-tune and evaluate LLMs with LangSmith for dataset management. Complete guide covers LLaMA2 and GPT-3.5 fine-tuning with practical examples.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build better Q&A systems for CSV data using LangChain agents, retrieval, and LLM evaluation. Includes benchmarks, debugging insights, and open-source code.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build faster AI apps with Timescale Vector for LangChain. Get 243% faster similarity search, time-based RAG, and PostgreSQL simplicity. Free 90-day trial.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：LangChain secures $10M seed round from Benchmark to empower developers building AI apps with our open-source framework for data-aware, agentic LLMs.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Scale retrieval apps to production with LangChain's Airbyte integration. Automate data ingestion with scheduling, text splitting, and 50+ embeddings.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Deploy LangChain apps with LangServe's playground UI and configurable parameters. Experiment with models, share with teams, stream in real-time.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build better AI apps with flexible retrieval methods in LangChain. Use any retriever—from semantic to hybrid—to create personalized ChatGPT for your data.
AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build AI-powered data experiences with Cube's semantic layer and LangChain. Prevent hallucinations, query in natural language, create conversational interfaces.