What if you could explain ChatGPT using only a dog, some audiobooks, and a stick? Joey Yudelson joins Sam and Shifra to break down how large language models actually work, no PhD required. From next-word prediction to reinforcement learning, this one will make you feel like you actually get it.

We talk about:

- How LLMs learn to "speak human" by predicting the next word

- What reinforcement learning actually does (and why your model needs a stick sometimes)

- Why RLHF is basically dog training at a bazillion scale

- Spurious correlations and how models learn the wrong lessons

- What it really means when an AI "has a persona"

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