Learning Notebook - David Rostcheck
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Have you ever wondered about an AI capable of refining itself? It’s a widely accepted concept that such self-improving AI could lead to an intelligence explosion. Using backpropagation, traditional neural networks are designed to hunt for the minimum in a loss function. However, this article will demonstrate how to deploy a Meta AI to forge other AIs to accomplish a specified goal. For those eager to dive into the code and try it out firsthand, follow this link. To put this theory to test, I’ve used Langchain, just like in my previous exploration. Earlier, I discussed how an AI could deploy and scrutinize a Lambda function with a handful of essential instructions. Yet, to figure out which commands to give the Lambda, I had to run the agent, examine its output, adjust the prompt to aid its progression, and repeat this cycle until successful deployment.
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