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  • All (21181) +146
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  • Education (48)
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  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
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  • 4 days ago · ai

    OpenResponses API now supported on Vercel AI Gateway

    Vercel AI Gateway is a day 0 launch partner for the OpenResponses API, an open-source specification from OpenAI for multi-provider AI interactions. OpenResponse...

    #Vercel #AI Gateway #OpenResponses #OpenAI #multi‑provider AI #text generation #streaming #tool calling #image input #API integration
  • 1 week ago · ai

    All you need to know and to get started building your first MCP 🤖

    What is MCP? Definition and basic overview Model Context Protocol MCP is a standard method for connecting AI applications with external systems—databases, func...

    #Model Context Protocol #MCP #AI integration #tool calling #prompt engineering #ChatGPT #Grok #context-aware AI
  • 1 week ago · ai

    Tool Boundaries for Agents: When to Call Tools + How to Design Tool I/O (So Your System Stops Guessing)

    Tool‑Calling — Make Your Agents Stop Guessing !Anindya Obihttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F...

    #tool calling #AI agents #prompt engineering #LLM tool integration #hallucination mitigation #agent design #tool I/O standards
  • 3 weeks ago · ai

    TOON for LLMs: A Benchmark Performance Analysis

    Every API call you make with JSON is costing you more than you think I ran real‑world extractions using Gemini 2.5 Flash, and the results were startling: JSON...

    #LLM #token efficiency #TOON format #JSON #Gemini 2.5 Flash #structured output #tool calling #prompt engineering
  • 3 weeks ago · ai

    ReAct vs Tool Calling: Why Your LLM Should Decide — But Never Execute

    Introduction When learning LangChain or building AI agents, a common question arises: > If LLMs can decide which tool to use, why do we still execute the tool...

    #LLM #tool calling #ReAct pattern #LangChain #AI agents #structured output #production safety
  • 1 month ago · ai

    AI Agents and Tool Calling Explained: Architecture, Context Engineering, and Implementation Strategies

    Large language models have transcended their original functions of summarizing documents and composing emails. These advanced systems now drive AI agents that e...

    #AI agents #tool calling #large language models #context engineering #implementation strategies #LLM automation #GitHub Copilot #Claude Code #Model Context Protocol #SQL agent
  • 1 month ago · ai

    How the Google AI Agents Intensive Transformed My Understanding of Agentic AI

    Introduction When I joined the Google & Kaggle AI Agents Intensive program, I had only a basic idea of what AI agents really were. I assumed they were similar...

    #google #ai agents #tool calling #large language models #autonomous agents #kaggle #agentic AI #LLM tool integration #AI education
  • 1 month ago · ai

    Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

    Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models VLMs optimized for multimodal reas...

    #GLM-4.6V #vision-language model #multimodal reasoning #tool-calling #open source AI #Z.ai #Zhipu AI #large language model #VLM
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