Lecture 5: How does GPT-3 really work?
In this lecture, we will understand how GPT-3 works. We will start by looking at the history of GPT: from transformers to GPT to GPT-2 to GPT-3 and then to GPT-4. Then we will discuss about Zero-shot and Few-shot learning. We will discuss the autoregressive and unsupervised nature of GPT pre-training in detail. We end the lecture with a note on the emergent behavior shown by language models.
0:00 Introduction and recap
1:20 Transformers, GPT, GPT-2, GPT-3 and GPT-4
9:50 Zero Shot vs Few Shot learning
18:18 Datasets for GPT pre-training
27:16 Next word prediction
38:11 Emergent behaviour
42:19 Recap of lecture
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