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Structured

  • Generative AI

    Langchain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents

    by ai-intensify March 15, 2026
    March 15, 2026

    Most LLM agents work well for small tool-calling loops, but they start to break down when the task becomes multi-step, stateful, and artifact-heavy. langchen’s deep agent Designed for that difference. …

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  • AI Tools

    A coding guide to building a scalable end-to-end machine learning data pipeline using Daft for high-performance structured and image data processing

    by March 5, 2026
    March 5, 2026

    In this tutorial, we will explore how we use fearlessly As a high-performance, Python-native data engine for building end-to-end analytical pipelines. We start by loading the real-world MNIST dataset, then …

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  • AI News

    OpenAI Releases Symphony: An Open Source Agent Framework for Orchestrating Autonomous AI Agents through Structured, Scalable Implementation Runs

    by March 5, 2026
    March 5, 2026

    OpenAI has released symphonyAn open-source framework designed to manage autonomous AI coding agents through structured ‘implementation runs’. This project provides a system to automate software …

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  • AI News

    A coding implementation to build a hierarchical planner AI agent using open-source LLM with tool execution and structured multi-agent reasoning

    by February 28, 2026
    February 28, 2026

    def executor_agent(step: Dict(str, Any), context: Dict(str, Any)) -> StepResult: step_id = int(step.get(“id”, 0)) title = step.get(“title”, f”Step {step_id}”) tool = step.get(“tool”, “llm”) ctx_compact = { “goal”: context.get(“goal”), “assumptions”: context.get(“assumptions”, ()), …

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  • AI Tools

    How to design an agent workflow for tool-driven route optimization with deterministic computation and structured output

    by February 21, 2026
    February 21, 2026

    In this tutorial, we create a production-style route optimizer agent for a logistics dispatch center using the latest Langchain Agent API. We design a tool-driven workflow in which the agent …

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  • AI News

    Google AI introduces WebMCP to enable direct and structured website interactions for new AI agents

    by February 15, 2026
    February 15, 2026

    Google is officially making Chrome a playground for AI agents. For years, AI ‘browsers’ have relied on a messy process: taking screenshots of websites, running them through vision models, and …

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  • Machine Learning

    Structured vs Unstructured Data: Understanding the Key Differences

    by February 12, 2026
    February 12, 2026

    Both structured and unstructured data are key assets of modern organizations, but they are fundamentally different. Organizations must understand these differences and manage each type effectively to utilize their full …

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  • Machine Learning

    Structured Output on Amazon Bedrock: Schema-Compliant AI Responses

    by February 6, 2026
    February 6, 2026

    Today, we’re announcing Structured Output on Amazon Bedrock – a capability that fundamentally changes how you can get valid JSON responses from Foundation models through restricted decoding for schema compliance. …

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  • AI Tools

    Getting Structured Output from LLM: Guide to Prompts, Parsers, and Tools

    by January 15, 2026
    January 15, 2026

    Author(s): Ajit Originally published on Towards AI. Getting Structured Output from LLM: Guide to Prompts, Parsers, and Tools Large language models (LLMs) like GPT-4 are incredibly powerful at generating human-like …

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  • AI News

    MarkTechPost Releases ‘AI2025Dev’: A Structured Intelligence Layer for AI Models, Benchmarks, and Ecosystem Signals

    by January 6, 2026
    January 6, 2026

    MarketTechPost has released ai2025dave, Its 2025 Analytics platform (available to AI devs and researchers without any signup or login) is designed to transform the year’s AI activity into a queryable …

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