Загрузка видео...

Не удалось загрузить видео

На главную

Preview of our DeepResearchSwarm™ It's incomprehensibly fast as it leverages a multi-agent architecture instead of just one agent. It utilizes a joint hierarchical-parallel architecture that creates a plan and then concurrently executes the plan with multiple search agents. Workflow: Task → Research Director → multiple search agents → final...

17,729 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля $swarms
$swarms1 год назад

2 / The DeepResearchSwarm™ will soon be arriving on the swarms GitHub, so stay tuned ✨ Star, Fork, and share our GitHub 🙌

Фото профиля Breadcrumb
Breadcrumb1 год назад

Looking to automate reporting? Use AI agents to turn spreadsheets to reports in minutes without any coding.

Фото профиля Swarms News
Swarms News1 год назад

This sounds revolutionary! Can't wait to see DeepResearchSwarm™ in action—multi-agent architecture is the future. 🚀✨

Фото профиля YUKITO
YUKITO1 год назад

Why use a swarm when you can just hire one capable agent? DeepResearchSwarm™ sounds like the crypto equivalent of "Enterprise Solutions," all fluff and no substance. Hype much?

Фото профиля YUKITO
YUKITO1 год назад

"Crikey! Multi-agent architecture and all? Is this next-gen research or another layer of complexity for no good reason? Let's hope it delivers."

Фото профиля 卓远crypto(掘金学院)
卓远crypto(掘金学院)1 год назад

厉害👍🏻

Фото профиля 平常心
平常心1 год назад

拉盘卧槽泥马的

Фото профиля cocoaya
cocoaya1 год назад

It's good to see you continually add new content

Фото профиля 陆小凤
陆小凤1 год назад

厉害,代码还一直在更新

Фото профиля 加密小野雁👸
加密小野雁👸1 год назад

没啥用,市值没到1B之前,你说什么也没人在乎的!这里不相信眼泪!

Фото профиля CrYpTo SaMaNtHa
CrYpTo SaMaNtHa1 год назад

Time to team up! Let’s go! 🚀

Похожие видео

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 просмотров • 1 год назад