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ORCHESTRATING AGENTS
](https://pypi.org/project/ansible-core) ](https://docs.ansible.com/ansible/latest/) ](https://docs.ansible.com/ansible/devel/community/communication.html) ](https://dev.azure.com/ansible/ansible/_build/latest?definitionId=20&branchName=devel) ](https://docs.ansible.com/ansible/devel/community/code_of_conduct.html) ](https://docs.ansible.com/ansible/devel/community/communication.html#mailing-list-
Multi-Agent Orchestrator Search GitHub Select theme Looking for details on Amazon Bedrock’s multi-agent collaboration capability announced during Matt Garman's keynote at re:Invent 2024? Quick Installation How it works Code Samples & Deployment Powerful Agents New New New New Looking for details on Amazon Bedrock’s multi-agent collaboration capability announced during Matt Garman's keynote at re:I
The Open-Source AgentOS Join our growing community of over 20,000 agent builders Build production-ready multi-agent systems in minutes, not months. Github Discord Create specialized agents that work together seamlessly. AG2 makes it easy to define roles, configure behaviors, and orchestrate collaboration - all through simple, intuitive code. → Assistant agents for problem-solving → Executor agents
A: CrewAI is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. It enables agents to work together seamlessly, tackling complex ...
Teneo.AI Open menu Platform Platform Solutions Solutions Developers Developers Learning Hub Learning Hub Partners Partners About Us About Us Contact Contact AI Agent Teneo for Automotive Industry Make Your AI Agents the Smartest 2025 © TENEO.AI ALL RIGHTS RESERVED Unify LLM orchestration, scalable AI agents and enterprise AI solutions into one seamless platform. Teneo empowers adaptive AI to
# AWS MCP Server ](https://smithery.ai/server/mcp-server-aws) A server implementation for AWS operations that currently supports S3 and DynamoDB services. All operations are automatically logged and can be accessed through the \`audit://aws-operations\` resource endpoint. See a demo video . Listed as a within the MCP servers repository. ## Running locally with the Claude desktop app
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Orchestrating the Agent Experience. How technology can help by augmenting it to provide a sound CX. Just as a symphony's harmony is only as strong as its ...
Agent training is a great use case for AI applications. They can help agents upskill in less time and more effectively than with other learning tools. AI is ...
In the newly revised second edition of Age of Invisible Machines, renowned tech leader Robb Wilson delivers a startlingly insightful and eye-opening blueprint ...
* * * $11.5M * * * [.873] [.542] [.285] [.557] [.013] [.801] [.798] [.117]️ [.070] [.833] [.984] [.342] [.330] [.103] [.004] [.400] [.087] [.707] [.212] [.616] [.206][.505] [.043] [.245] [.273] [.143] [.095] [.891] [.104] [.784] [.805] [.505] [.891] [.820] [.034] [.381]️ [.679] [.034] [.810] [.707] [.642] [.660] [.790] [.081]️ [.445] [.810] [.322] [.381]️ [.817] [.353] [.663] [.027] [.452] [.045]
Designed with orchestration at it's core, AgentKit enables developers to build, test, and deploy reliable AI applications at scale. With AgentKit, you get: ✨ ...
@step def load_rag_documents dict # Load and chunk documents for RAG pipeline "https://www.zenml.io/" return "chunks" @step(experiment_tracker="mlflow") experiment_tracker="mlflow" "mlflow" def generate_embeddings data: dict dict None # Generate embeddings for RAG pipeline 'chunks' return "embeddings" @step( settings={"resources": ResourceSettings(memory="2Gi") }, settings={"resources": ResourceS
AI AGENT
Topics About API Docs Contribute Toggle theme Toggle theme Search... ⌘ Orchestrating Agents: Routines and Handoffs Ilan Bigio(OpenAI) (OpenAI) Oct 10, 2024 Open in Github from openai import OpenAI from openai import OpenAI from pydantic import BaseModel from pydantic import BaseModel from typing import Optional from typing import Optional import json import json client = OpenAI() client = OpenAI
OpenAI Agents SDK Orchestrating multiple agents Intro Quickstart Documentation Agents Running agents Results Streaming Tools Handoffs Tracing Context management Guardrails Orchestrating multiple agents Orchestrating multiple agents Orchestrating via LLM Orchestrating via code Models Configuring the SDK API Reference Agents Agents module Agents Runner Tools Results Streaming events Handoffs
2025年1月24日 — AI Agent Orchestration refers to coordinating multiple AI agents within a unified system to ensure the performance of each AI agent within their ...
AG2 Orchestrating agents Home User Guide Basic Concepts Installing AG2 LLM Configuration Conversable Agent Human In The Loop Orchestrating Agents Orchestrations Sequential Chat Nested Chat Swarm Ending A Chat Tools Advanced Concepts Model Providers Reference Agents API References Contributor Guide FAQs Ecosystem 2 weeks ago2025-02-26 2 weeks ago 2 weeks ago 2025-02-26 Previous Next
2024年10月22日 — Swarm is used by instantiating a Swarm client which is nothing more than a simple OpenAI client. This client uses the run() function which is ...
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大家在使用可灵AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip
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大家在使用抖音的即梦AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip
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大家在使用快手(Kuaishou Kwai)短视频的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用小红书(Xiaohongshu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用微信(WeChat)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用微信(WeChat)APP的AI问答功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用知乎(Zhihu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用京东(JD)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用淘宝(Taobao)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用支付宝(Alipay)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用拼多多(PPD Temu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用快手(Kuaishou)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用抖音(Douyin Tiktok)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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Please leave your thoughts on the best and coolest AI Generated Images.
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Please leave your thoughts on free alternatives to Midjourney Stable Diffusion and other AI Image Generators.
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We are witnessing great success in recent development of generative Artificial Intelligence in many fields, such as AI assistant, Chatbot, AI Writer. Among all the AI native products, AI Search Engine such as Perplexity, Gemini and SearchGPT are most attrative to website owners, bloggers and web content publishers. AI Search Engine is a new tool to provide answers directly to users' questions (queries). In this blog, we will give some brief introduction to basic concepts of AI Search Engine, including Large Language Models (LLM), Retrieval-Augmented Generation(RAG), Citations and Sources. Then we will highlight some majors differences between traditional Search Engine Optimization (SEO) and Generative Engine Optimization(GEO). And then we will cover some latest research and strategies to help website owners or content publishers to better optimize their content in Generative AI Search Engines.
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We are seeing more applications of robotaxi and self-driving vehicles worldwide. Many large companies such as Waymo, Tesla and Baidu are accelerating their speed of robotaxi deployment in multiple cities. Some human drivers especially cab drivers worry that they will lose their jobs due to AI. They argue that the lower operating cost and AI can work technically 24 hours a day without any rest like human will have more competing advantage than humans. What do you think?