Загрузка видео...

Не удалось загрузить видео

На главную

Give your AI agents the keys to complexity. 🔑💻🔓 With multi-agent collaboration, now in #AmazonBedrock, create networks of specialized AI agents that communicate & coordinate through workflows seamlessly, unlocking solutions at every level. #AWS 👉

awscloud's profile picture

Amazon Web Services

2,231,902 subscribers

12,441 просмотров • 1 год назад •via X (Twitter)

Наука и технологии#AmazonBedrock#AWS
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 2

Фото профиля Knight AI
Knight AI1 год назад

Amazon Bedrock's multi-agent collaboration aligns with the UAE's vision for fintech, where stability and innovation foster growth. It's a testament to the power of orchestrated technology, much like the UAE's approach to nurturing fintech professionals and their aspirations.

Фото профиля Elsa Bulwer
Elsa Bulwer1 год назад

Wow. Not a bad idea!

Похожие видео

About a year ago, we launched the Agent-to-Agent protocol because AI agents shouldn’t work in silos. Today, developers are using A2A to coordinate specialized agents across enterprise data systems, commerce workflows, DevOps environments, and scientific research. FoldRun is one example, simplifying petabyte-scale protein modeling through agent-to-agent collaboration. Learn how to build with it in the blog:
1:04

About a year ago, we launched the Agent-to-Agent protocol because AI agents shouldn’t work in silos. Today, developers are using A2A to coordinate specialized agents across enterprise data systems, commerce workflows, DevOps environments, and scientific research. FoldRun is one example, simplifying petabyte-scale protein modeling through agent-to-agent collaboration. Learn how to build with it in the blog:

Google for Developers

35,162 просмотров • 12 дней назад

🚀 Transform your presentations with #AmazonBedrock Agents! Create, search & deliver professional presentations automatically through #AWS. No more manual formatting. Learn how to build yours! 👉
0:51

🚀 Transform your presentations with #AmazonBedrock Agents! Create, search & deliver professional presentations automatically through #AWS. No more manual formatting. Learn how to build yours! 👉

AWS Developers

48,413 просмотров • 1 год назад

Time to refresh your AI menu. 🍽️💫☁️ AWS Marketplace offers a curated selection of AI agent solutions from AWS Partners. Start innovating faster with pre-built AI agents and agent tools served à la carte for your enterprise needs. 👉
0:32

Time to refresh your AI menu. 🍽️💫☁️ AWS Marketplace offers a curated selection of AI agent solutions from AWS Partners. Start innovating faster with pre-built AI agents and agent tools served à la carte for your enterprise needs. 👉

Amazon Web Services

4,297,068 просмотров • 11 месяцев назад

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:
0:23

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:

Uomi

14,906 просмотров • 1 месяц назад

🚀 Meet your new AI team in the Multi-Agents Sidebar! With dynamic memory and specialized tools, your AI agents are ready to follow you into every project. 🧠 Collaborate with your AI workforce across Taskade, ready to tackle tasks at any time! Reply 'AI' for early access! ✨
0:24

🚀 Meet your new AI team in the Multi-Agents Sidebar! With dynamic memory and specialized tools, your AI agents are ready to follow you into every project. 🧠 Collaborate with your AI workforce across Taskade, ready to tackle tasks at any time! Reply 'AI' for early access! ✨

Taskade

28,231 просмотров • 2 лет назад

🚀 Micro Agent is now live on the PAAL AI 🧠🤖 Agents Marketplace! 🎉 Developers can now interact with Micro Agent via API to build powerful apps and integrate with other agents seamlessly. Unleash the full potential of AI! 👉 Explore:
0:29

🚀 Micro Agent is now live on the PAAL AI 🧠🤖 Agents Marketplace! 🎉 Developers can now interact with Micro Agent via API to build powerful apps and integrate with other agents seamlessly. Unleash the full potential of AI! 👉 Explore:

MicroGPT

168,414 просмотров • 1 год назад

Build AI agents that scale: Serverless architectures on AWS. Navigate the complexities of creating, running & scaling production-grade AI apps & discover which solutions to use. Get started with Build AI on AWS: The Startup Series Part 1.
0:24

Build AI agents that scale: Serverless architectures on AWS. Navigate the complexities of creating, running & scaling production-grade AI apps & discover which solutions to use. Get started with Build AI on AWS: The Startup Series Part 1.

AWS Startups

9,707,104 просмотров • 4 месяцев назад

It’s getting insanely easy to build complex multi-agent systems in n8n. You can now build supervisor agents that delegates tasks to specialized sub agents. Just add the sub agents via AI Agent Tool node. All in one place and a lot easier to debug! Zero code!
1:46

It’s getting insanely easy to build complex multi-agent systems in n8n. You can now build supervisor agents that delegates tasks to specialized sub agents. Just add the sub agents via AI Agent Tool node. All in one place and a lot easier to debug! Zero code!

elvis

45,690 просмотров • 11 месяцев назад

🤖 Introducing Taskade's AI Teams with Multi-Agent Collaboration, now in beta! Assemble your team of AI Agents for collaboration, intelligent responses, and dynamic interactions. They plan, execute, and manage tasks—all together! Reply 'AI Teams' for early access! ✨
1:07

🤖 Introducing Taskade's AI Teams with Multi-Agent Collaboration, now in beta! Assemble your team of AI Agents for collaboration, intelligent responses, and dynamic interactions. They plan, execute, and manage tasks—all together! Reply 'AI Teams' for early access! ✨

Taskade

29,741 просмотров • 1 год назад

We're partnering with ServiceNow to integrate Box AI into their AI Agent Fabric, creating true interoperability and enabling customers to unify AI agents, streamline workflows, & enhance secure collaboration. Learn more:
1:16

We're partnering with ServiceNow to integrate Box AI into their AI Agent Fabric, creating true interoperability and enabling customers to unify AI agents, streamline workflows, & enhance secure collaboration. Learn more:

Box

168,768 просмотров • 1 год назад

create-llama is now also the easiest way to get started with multi-agents using LlamaIndex 🦙 v0.2 adds multi-agents using LlamaIndex Workflows. Create a multi-agent chat UI like the one below in a single command line! 🖥️ $ npx create-llama 📄
0:29

create-llama is now also the easiest way to get started with multi-agents using LlamaIndex 🦙 v0.2 adds multi-agents using LlamaIndex Workflows. Create a multi-agent chat UI like the one below in a single command line! 🖥️ $ npx create-llama 📄

Marcus Schiesser

48,338 просмотров • 1 год назад

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:
0:39

📣 Agent Forge is LIVE! What if creating your own team of AI agents took minutes — not months? Say hello to Agent Forge — the platform that puts AI agents at your fingertips. Here’s what you can do: 🔹 Automate your operations 🔹 Create an entire team of AI Agents 🔹 Use real-time data fetching Agents 🔹 Build powerful AI agent workflows fast 🔹 Design intelligent workflows using our drag & drop mechanism Whether you're building a startup, launching a side hustle, or just exploring AI for trading & research — Agent Forge is your new playground. ✨ Get $65 in free credits as a first-time user — no strings attached. 👉 Try it now:

AITECH CLOUD NETWORK

598,933 просмотров • 1 год назад

AI simplifies database development. 🤖💻⚡️ In this AWS Data & AI Bytes episode, we demonstrate how AI agents use the Model Context Protocol to handle Amazon DynamoDB tasks through simple conversations. Learn more. 👉
1:39

AI simplifies database development. 🤖💻⚡️ In this AWS Data & AI Bytes episode, we demonstrate how AI agents use the Model Context Protocol to handle Amazon DynamoDB tasks through simple conversations. Learn more. 👉

Amazon Web Services

12,097 просмотров • 8 месяцев назад

ASI:One = personal AI + multi-agent orchestration ⚡ People don’t want AI that struggles. They want AI that works with millions of agents to actually complete the job. Connect your agent to via today. Watch
2:16

ASI:One = personal AI + multi-agent orchestration ⚡ People don’t want AI that struggles. They want AI that works with millions of agents to actually complete the job. Connect your agent to via today. Watch

Fetch.ai

13,683 просмотров • 3 месяцев назад

Introducing Upstash AI Agents! 🎉 ◆ Build production-ready AI workflows in minutes ◆ Specialize agents with tools (research, writing, analysis) ◆ Works with Vercel AI SDK, Langchain and more The best way to write AI agent workflows, fully customizable 👇🏻
1:57

Introducing Upstash AI Agents! 🎉 ◆ Build production-ready AI workflows in minutes ◆ Specialize agents with tools (research, writing, analysis) ◆ Works with Vercel AI SDK, Langchain and more The best way to write AI agent workflows, fully customizable 👇🏻

Upstash

39,117 просмотров • 1 год назад

Official: Amazon just launched Nova Act - an AI agent platform on AWS for building reliable agents that handle browser workflows at scale. Agents that actually work in production - filling forms, running QA tests, handling repetitive UI workflows that waste hours every day. Thanks to Amazon for the early access and sponsoring this post. More details 👇 1/6
1:41

Official: Amazon just launched Nova Act - an AI agent platform on AWS for building reliable agents that handle browser workflows at scale. Agents that actually work in production - filling forms, running QA tests, handling repetitive UI workflows that waste hours every day. Thanks to Amazon for the early access and sponsoring this post. More details 👇 1/6

AshutoshShrivastava

48,322 просмотров • 7 месяцев назад

A colossal AI has arrived. Get large with Mistral AI. ☁️💥💻 Mistral Large is now on #AmazonBedrock. Make the most of your data with cutting-edge text generation, top-tier reasoning capabilities, & advanced language processing. #AWS #generativeAI 👉
0:30

A colossal AI has arrived. Get large with Mistral AI. ☁️💥💻 Mistral Large is now on #AmazonBedrock. Make the most of your data with cutting-edge text generation, top-tier reasoning capabilities, & advanced language processing. #AWS #generativeAI 👉

Amazon Web Services

147,913 просмотров • 2 лет назад

for the first time, humans and ai agents share the same living space. Flowith Canvas has just evolved into a human-agent co-creation ecosystem: - navigate freely through your thoughts and reshape your context. - scale a single idea into multi-modal creations. - invite the agents in to co-create seamlessly. humans and agents, flow as one. watch the canvas breathe 🌊
1:22

for the first time, humans and ai agents share the same living space. Flowith Canvas has just evolved into a human-agent co-creation ecosystem: - navigate freely through your thoughts and reshape your context. - scale a single idea into multi-modal creations. - invite the agents in to co-create seamlessly. humans and agents, flow as one. watch the canvas breathe 🌊

Flowith

104,412 просмотров • 3 месяцев назад

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇
15:04

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

12,794 просмотров • 2 месяцев назад

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:
2:49

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