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1mo Edited

Ever wondered how to automate tasks with specialized AI Agents with LLMs? Nicholas Renotte, Chief AI Engineer at IBM Client Engineering, shows us how to quickly create a team of agents that can work together to complete tasks using AI prompting techniques. Check it out here: https://ibm.co/3Xpz8wf

6 Comments

Remko de Knikker

Remko de Knikker

Lead GenAI Partner Engineer @ IBM | GenAI, Containers, Automation, Solutions Architecture

1mo

As context here it's perhaps interesting to compare a no-code solution like watsonx Orchestrate and a framework like watsonx flows engine, both great alternatives imho.

Serge Khachatour

Serge Khachatour

Senior Software Engineer @ AeroVironment Inc. | Systems Engineering | Cloud & Hybrid Integration Solutions Architect

1mo

Very nice! AI Functions calling other functions using the structured outputs of one function to generate input parameters to prompts for another function or API to get to a more desired response. Every business should use this. The possibilities are endless!

Ida Maureen Chao Kho

Ida Maureen Chao Kho

IBM WW Emerging Regulatory Policy in A.I., Privacy, Cyber and Data Governance • Senior Counsel

1mo

I can see the practical applications of this! Exciting.

Data & AI Pre-Sales Engineering Leader, IBM Quantum Ambassador, IBM Technology, India/South Asia

1mo

Varun Gupta Multiagent working together using watsonx.. 👋

Architect / Designer

1mo

GREAT IBM

Associate Partner Hybrid Cloud & AI Architect @ IBM | Cloud-Native Architecture, Public Cloud

1mo

Great work!

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