CodeEmporium
Let’s talk about GPT, GPT-2, GPT-3 and ChatGPT in 10 minutes
ABOUT ME
⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1
📚 Medium Blog: https://medium.com/@dataemporium
💻 Github: https://github.com/ajhalthor
👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/
RESOURCES
[ 1🔎] GPT-3 Main Paper: https://arxiv.org/pdf/2005.14165.pdf
[2 🔎] GPT-2 Main Paper: https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf
[3 🔎] GPT original paper: https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf
[4 🔎] A very Nice intuitive understanding of GPT-3 architecture: https://dugas.ch/artificial_curiosity/GPT_architecture.html
PLAYLISTS FROM MY CHANNEL
⭕ ChatGPT Playlist of all other videos: https://youtube.com/playlist?list=PLTl9hO2Oobd9coYT6XsTraTBo4pL1j4HJ
⭕ Transformer Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE
⭕ Convolutional Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd9U0XHz62Lw6EgIMkQpfz74
⭕ The Math You Should Know : https://youtube.com/playlist?list=PLTl9hO2Oobd-_5sGLnbgE8Poer1Xjzz4h
⭕ Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V
⭕ Coding Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd82vcsOnvCNzxrZOlrz3RiD
MATH COURSES (7 day free trial)
📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML
📕 Calculus: https://imp.i384100.net/Calculus
📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics
📕 Bayesian Statistics: https://imp.i384100.net/BayesianStatistics
📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra
📕 Probability: https://imp.i384100.net/Probability
OTHER RELATED COURSES (7 day free trial)
📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning
📕 Python for Everybody: https://imp.i384100.net/python
📕 MLOps Course: https://imp.i384100.net/MLOps
📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP
📕 Machine Learning in Production: https://imp.i384100.net/MLProduction
📕 Data Science Specialization: https://imp.i384100.net/DataScience
📕 Tensorflow: https://imp.i384100.net/Tensorflow