Stanford Seminar - Transformers in Language: The Development of GPT Models Including GPT-3

Stanford University via YouTube

YouTube

60 Courses


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Overview

Title: Stanford Seminar on GPT Models: Unveiling Transformers in Language

Description: Dive into the world of unsupervised learning and its pivotal role in natural language processing with our comprehensive Stanford University course, available on YouTube. Explore an array of algorithms pivotal for constructing generative text models and enhancing language understanding. We'll navigate through the intricacies of 3-gram models, recurrent neural networks, big LSTM, the revolutionary Transformer architecture, and the advancements brought by GPT-2 and GPT-3. Additionally, the course delves into specialized topics like the Unsupervised Sentiment Neuron, Zero-Shot Reading Comprehension, and the innovative application of GPT-3 in image analysis through IGPT. We'll assess groundbreaking datasets like HumanEval and discuss evaluation metrics such as the pass@k. Join us as we also tackle approximation techniques for sampling and ponder over the vast implications and existing limitations within the realm of natural language processing.

University: Stanford University

Provider: YouTube

Categories: Unsupervised Learning Courses, Chatbot Courses, Sentiment Analysis Courses, GPT-3 Courses, Long short-term memory (LSTM) Courses

Syllabus


Taught by

Stanford Online


Tags

united states

provider YouTube

YouTube

34 Courses


YouTube

pricing Free Online Course
language English
duration 49 minutes
sessions On-Demand