Sebastian Raschka • 1/16/2023

Curated Resources and Trustworthy Experts: The Key Ingredients for Finding Accurate Answers to Technical Questions in the Future

This article examines why conversational AI like ChatGPT struggles with factual accuracy on technical topics, using weight decay in deep learning as a key example. It explores the challenge of misinformation in training data and discusses solutions like InstructGPT's human-in-the-loop approach, highlighting the resource dilemma of creating sufficient high-quality data for reliable AI systems.

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#large language models #Chatgpt #LLM Training