L19.5.2.5 GPT-v3: Language Models are Few-Shot Learners @SebastianRaschka

L19.5.2.5 GPT-v3: Language Models are Few-Shot Learners @SebastianRaschka

Uploaded May 2021 | Updated September 2026, 2 weeks ago

Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L19_seq2seq_rnn-transformers__slides.pdf

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This video is part of my Introduction of Deep Learning course.

Next video: youtu.be/1JBMCG8rW18

The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51

A handy overview page with links to the materials: sebastianraschka.com/blog/2021/dl-course.html

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L19.5.2.5 GPT-v3: Language Models are Few-Shot Learners

L13.5 Whats The Difference Between Cross-Correlation And Convolution?

L11.0 Input Normalization and Weight Initialization Lecture Overview

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13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)

L13.9.1 LeNet-5 in PyTorch

L17.4 Variational Autoencoder Loss Function

L9.3.1 Multilayer Perceptron Code Example Part 1/3 (Slide Overview)

L4.2 Tensors in PyTorch

Sebastian Raschka |

L19.5.2.5 GPT-v3: Language Models are Few-Shot Learners