11:29

Gemini 1.5 Pro has a massive context window

16:02

Challenges with unsupervised LLM knowledge discovery

19:35

Anthropic - AI sleeper agents?

16:01

Mamba - a replacement for Transformers?

15:24

How does Gemini compare to GPT-4?

28:48

Self-supervised vision

30:49

Vision Transformer Basics

25:31

Is Chain of Thought faithful?

12:49

How strong is Claude 2?

15:49

What does AI believe is true?

17:10

Can we verify training data?

08:54

What is Superalignment?

08:53

What is SDXL 0.9?

25:52

Eliciting Latent Knowledge

14:47

What is KOSMOS-2?

37:27

Possible catastrophic AI risks?

13:40

Textbooks Are All You Need

12:14

AI Safety & Capabilities News (19th June 2023)

01:38

Fact-check ChatGPT - Filtir ChatGPT Plugin Demo

09:31

AI News (12th June 2023)

12:15

AI News (5th June 2023)

11:48

AI News (31st May 2023)

12:35

AI News (24th May 2023)

18:27

AI News (15th May 2023)

12:49

AI News (8th May 2023)

08:19

AI News (1st May 2023)

11:33

AI News: 24th April 2023

13:04

Computer vision: a very short introduction

02:55

Large Language Models are Few-shot Publication Scoopers

19:49

How strong is GPT-4?

27:27

NP-complete problems: Samuel's tutorial

05:55

What is the alignment problem?

24:56

Task-parallel computing: Samuel's tutorial

06:47

Bucket sort: Samuel's tutorial

38:20

BLOOM: A 176B-parameter Open-access Multilingual Language Model

10:03

Radix sort: Samuel's tutorial

04:27

Counting sort: Samuel's tutorial

06:10

Comparison sorting lower bounds: Samuel's tutorial

17:35

Quicksort: Samuel's tutorial

21:31

Heapsort and Binary heaps: Samuel's tutorial

33:14

B-trees: Samuel's tutorial

24:20

Red-black trees: Samuel's tutorial

25:19

Crosslingual Generalization through Multitask Finetuning (BLOOMZ & mT0)

16:52

Binary Search Trees: Samuel's tutorial

30:52

Scaling Instruction-Finetuned Language Models (Flan-PaLM)

18:58

ReCo: Retrieve and Co-segment for Zero-shot Transfer

16:01

Big O notation: Samuel's tutorial

23:28

Hash tables: Samuel's tutorial

13:35

PromptSource - an IDE and repository for natural language prompts

11:13

🤗 Datasets: A community library for natural language processing

11:11

Row-major order vs column-major order: Samuel's tutorial

05:25

Why numbering should start at zero (according to Dijkstra): Samuel's tutorial

02:15:40

Codex: Evaluating Large Language Models Trained on Code

02:54:33

GPT-3: Language Models are Few-shot Learners

01:23:26

On the Opportunities and Risks of Foundation Models (intro)

01:21:20

Querybank Normalisation (QB-Norm)

01:13:07

DINO: Self-distillation with no labels

01:35:38

Flamingo: a Visual Language Model for Few-Shot Learning

35:14

Neural network architectures, scaling laws and transformers

24:25

Self-supervised learning and pseudo-labelling