Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.

Anja Petry

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This article provides an overview of AI, artificial neural networks, large language models, parameters, embeddings, and GPTs. It explains how LLMs are trained on data and can generate text based on probability. The article also discusses the non-deterministic nature of GPTs and their potential for hallucinations. The next post will explore prompt engineering.

AI for Web Devs: What Are Neural Networks, LLMs, & GPTs?