Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 16 – Coreference Resolution

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and Word Vectors

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata

Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 15 - Add Knowledge to Language Models

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 15 - Code Generation

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 17 – Multitask Learning

MIT 6.S191: Reinforcement Learning

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 18 – Constituency Parsing, TreeRNNs

MIT Introduction to Deep Learning | 6.S191

Think Fast, Talk Smart: Communication Techniques

CS480/680 Lecture 19: Attention and Transformer Networks

Stanford CS230: Deep Learning | Autumn 2018 | Lecture 10 - Chatbots / Closing Remarks

Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 - Pretraining

Lecture 2 | Word Vector Representations: word2vec

Lecture 1 | Natural Language Processing with Deep Learning

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill

Konsep Cepat Memahami Deep Learning

How To Speak Fluently In English About Almost Anything

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 19 – Bias in AI

But what is a neural network? | Deep learning chapter 1