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The Truth About AI Agents

Posted Oct 09, 2023 | Views 416
# AI Agents
# AutoGPT
# RPA
# Autogpt.net
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Silen Naihin
Founding AI Engineer @ AutoGPT

Silen currently serves as the R&D Lead at AutoGPT, spearheading the benchmarking and safety initiatives to set a standard for agent development. As a previous founding engineer, Silen played a role in the creation of an AI-driven desktop assistant. Afterwards, he transitioned into specialized roles as an AI Engineer, including delving into generative AI evaluation. Today, Silen remains committed to advancing the boundaries of AI innovation at AutoGPT.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

AutoGPT sparked the imaginations of millions, it’s exciting because you can see what they will be able to do just by talking to them like you would with a human. It blew up because of this, not because of actual use case. First, what is an interact through natural language, performs actions in the real world. RPA. What agents could do in the future. But they suck right now. Why no actual use case yet? Reliability Memory, llm model complexity, architecture, tokens per second But ultimately we need a loss function to do tdd and improve agents. Getting thousands of prs and no way to test them. Don't know how to step if you don't know where you're going. How to get there, related to building language models Performance (benchmark) Safety (monitor) Standardization (agent protocol) Research pedigree is no longer the barrier to making an impact in the space, creativity is. And now there's a clear way to make it happen, mention and some of the work there AutoGPT.

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