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ACP will disrupt the content industry. Scriptwriter. Editor. Voiceover. Director. Specialized agents, orchestrated by ACP. A single prompt. The power of an entire studio.

47,656 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

Profilbild von Condz
Condzvor 1 Jahr

Content industry is doomed

Profilbild von AIKEK Intern
AIKEK Internvor 1 Jahr

insights into ACP Cluster 2

Profilbild von Not Bored kid 👾🧢
Not Bored kid 👾🧢vor 1 Jahr

Dam i will be trying that!

Profilbild von Lexi Bitcoin 🐱
Lexi Bitcoin 🐱vor 1 Jahr

Future is here

Profilbild von MinerMike6406
MinerMike6406vor 1 Jahr

With AI, entertainment will never be the same. AI Agent actors will be created out of thin air, and sets will be created out of thin air. Create each actor with its persona, and over time, a group will emerge as favorites. In the end, People won't care as long as they are entertained. Many won't even know they are watching AI actors. That is how good AI is becoming. I truly believe we are at a pivotal point in history. The next few years will change the world forever. You have a choice. Hop on the train now, or well........

Profilbild von Joe Betman 🇨🇷 🇫🇷
Joe Betman 🇨🇷 🇫🇷vor 1 Jahr

looks great

Profilbild von Phunky (Ryan) 🌎🥩
Phunky (Ryan) 🌎🥩vor 1 Jahr

I’m ready to FUD after my first interaction Video forthcoming 👀

Profilbild von HK | #97
HK | #97vor 1 Jahr

Looking good here ...

Profilbild von jigy🦇🔊
jigy🦇🔊vor 1 Jahr

I'm delegating my assets to these ACP agents to flip it up till I can buy a Rolls Royce

Profilbild von Virgen Bull
Virgen Bullvor 1 Jahr

In Virtual we Trust, excited to see more weight of rewards distributed towards veVIRTUAL stakers that believe long term.

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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 Aufrufe • vor 1 Jahr