Oct. 24, 2023, 1:39 p.m. | Harish Mohan Raj

DEV Community dev.to




Motivation


I've recently started experimenting with AI agents and stumbled upon AutoGPT. My curiosity led me to wonder about the mechanisms behind it. To gain a better understanding of AutoGPT's inner workings, I embarked on a journey of practical experimentation, working with various examples and meticulously recording inputs and outputs at each step.


This hands-on exercise significantly enhanced my understanding of AutoGPT. What follows are my observations on AutoGPT's inner workings and what occurs after the user enters a task. …

agents ai ai agents autogpt curiosity deep dive examples experimentation guide journey llm motivation practical python understanding

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US