02:09

CS378NLP Fall 2020 "intro"

02:14

CS371N/388 NLP "trailer" (fall 2023)

08:05

Position Encodings (Natural Language Processing at UT Austin)

07:01

Chain of Thought (Natural Language Processing at UT Austin)

07:46

Transformer Architecture (Natural Language Processing at UT Austin)

08:09

Language and Vision (Natural Language Processing at UT Austin)

04:49

Future Risks of Large Language Models (NLP for High School)

10:28

Transformer Language Modeling (Natural Language Processing at UT Austin)

09:56

Factuality of LLMs (Natural Language Processing at UT Austin)

05:07

T5 (Natural Language Processing at UT Austin)

09:38

Language Grounding (Natural Language Processing at UT Austin)

08:28

Zero-shot Prompting (Natural Language Processing at UT Austin)

10:10

Neural Chatbots (Natural Language Processing at UT Austin)

03:54

Intro to ChatGPT and NLP (NLP for High School)

08:13

Reinforcement Learning from Human Feedback (Natural Language Processing at UT Austin)

05:34

Using Transformers (Natural Language Processing at UT Austin)

07:00

Seq2seq Models (Natural Language Processing at UT Austin)

06:11

Mathematics of Language Modeling (NLP for High School)

07:10

RNNs and their Shortcomings (Natural Language Processing at UT Austin)

09:02

Beam Search (Natural Language Processing at UT Austin)

06:25

Ethics: Bias (Natural Language Processing at UT Austin)

11:04

Attention (Natural Language Processing at UT Austin)

04:14

ChatGPT Part 2 (NLP for High School)

05:27

Multi Head Self Attention (Natural Language Processing at UT Austin)

07:29

Understanding ICL: Induction Heads (Natural Language Processing at UT Austin)

05:49

Machine Learning (NLP for High School)

09:29

GPT-3 (Natural Language Processing at UT Austin)

07:52

Neural and Pretrained Machine Translation (Natural Language Processing at UT Austin)

05:50

Instruction Tuning (Natural Language Processing at UT Austin)

07:56

ChatGPT The Basics (NLP for High School)

04:15

Where to go next (NLP for High School)

05:33

Risks of Large Language Models (NLP for High School)

06:35

Language Modeling (NLP for High School)

03:49

Course Preview (Natural Language Processing at UT Austin)

05:40

BART (Natural Language Processing at UT Austin)

08:18

Few-shot Prompting (Natural Language Processing at UT Austin)

06:44

Nucleus Sampling (Natural Language Processing at UT Austin)

03:09

LM Evaluation (Natural Language Processing at UT Austin)

09:03

Ethics: Unethical Use (Natural Language Processing at UT Austin)

06:45

Transformer Extensions (Natural Language Processing at UT Austin)

05:54

Chain of Thought: Extensions and Analysis (Natural Language Processing at UT Austin)

06:08

How does ChatGPT know things? (NLP for High School)

06:59

Ethics: Dangers of Automation (Natural Language Processing at UT Austin)

13:59

Self Attention (Natural Language Processing at UT Austin)

05:50

Ethics: Exclusion (Natural Language Processing at UT Austin)

10:06

Mathematics of Language Modeling (Advanced) (NLP for High School)

25:10

[COLING 22 Workshop Talk] Summarizing Narratives with GPT-3: Measuring the next 5 years of progress

02:14

UT Austin CS378/388 (NLP) Fall 2022 "Trailer"

04:52

What's Next (NLP for High School 2021-2022 version)

07:38

Language Models in the News (NLP for High School 2021-2022 version)

04:52

Discussion: Write with Transformer (NLP for High School 2021-2022 version)

07:53

Hands On: Write with Transformer (NLP for High School 2021-2022 version)

08:59

Querying the LM (Python) (NLP for High School)

09:02

Querying the LM (Java) (NLP for High School)

05:48

Bigram LM Code (Python) (NLP for High School)

06:31

Bigram LM Code (Java) (NLP for High School)

13:39

Building n-gram LMs (NLP for High School 2021-2022 version)

06:35

Language Modeling (NLP for High School 2021-2022 version)

07:15

Machine Learning (NLP for High School 2021-2022 version)

05:14

What Is NLP? (NLP for High School 2021-2022 version)