This video is a recording of a conference presentation from 2021. It discusses some of the nuts and bolts about how AI systems are trained and ways in which unintentional bias can ruin the results. This was recorded before the Large Language Models like GPT (which powers ChatGPT) came widely on the scene, but a LLM is trained very much like described in this presentation except that it’s trained on enormous numbers of training examples. Watching this will help you better understand things that are going right, or are going wrong, with AI.
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