11:32

'Diffusion Beats Autoregressive in Data-Constrained Settings' - Paper read + a win for open review

11:58

SVG generation as a microcosm of generative AI research trends

28:50

The Diffusion Duality (Paper reading + discussion)

31:06

Diffusion Language Models - Turning ModernBERT into an instruct-tuned Diffusion LLM

21:45

New Ways to Scale Inference Time Compute of LLMs: Parallel Scaling, Diffusion and More

48:57

Extrapolate All The Things: Paper reading + experiment

31:45

Paper walkthrough: rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

01:00:34

Reading a paper + running an experiment: how do LLMs 'connect the dots' in this contrived example?

15:01

Min P Sampling: Balancing Creativity and Coherence (paper explanation + code)

38:47

Mixed-Modal Early-Fusion Foundation Models: Paper run-throughs for 'Chameleon' and 'MoMa'

07:03

LLM Steganography: Hiding Messages in Text

35:24

Zotero Cleanup (chatting informally while closing my open papers)

45:43

With the author: Readout Guidance (plus Diffusion Hyperfeatures)

40:00

Paper deep dive: Evolutionary Optimization of Model Merging Recipes

04:08:37

Paperathon #1

26:20

ZipLoRA: Any Subject in Any Style (deep dive and paper explanation)

14:32

Evaluating Diffusion Models with PickScore

14:17

How I 'monetized' an AI demo

32:45

Gaussian Splatting explorations

08:26

LLM basics #4 with the LLM Science Exam Kaggle Competition - Retrieval

15:21

What is Speculative Sampling?

18:15

LLM basics #3 with the LLM Science Exam Kaggle Competition - Training a task-specific model for MCQs

17:04

LLM basics #2 with the LLM Science Exam Kaggle Competition - Generating Synthetic Data

21:08

LLM basics #1 with the LLM Science Exam Kaggle Competition - Zero-Shot approaches

16:22

Stylizing Video with Diffusion Models

13:22

InstructPix2Pix Explained - Edit Images with Words!

41:09

Stable Diffusion Deep Dive Notebook Run-through

19:58

Podcast E6: Wasim Lorgat

15:50

Building DistilHN: Using ML to Summarize News Articles

46:02

HuggingFace Class, Unit 2 - Fintuning and Guidance (casual notebook walkthough)

50:38

HuggingFace Diffusion Model Class, Unit 1 (casual notebook walkthough)

20:03

Editing Images with Diffusion Models (lit review / overview of different approaches)

01:11:46

TGL Discussion Series: Hamel Husain

29:55

TGL Discussion Series: Jason Antic

34:49

TGL Discussion Series: Teodora Szasz

14:53

TGL Discussions Series: @EnzymeZoo

17:46

TGL Discussions Series: Apolinario Passos

21:06

Progressive Distillation for Fast Sampling of Diffusion Models (paper sumary)

24:55

Summarising Neuromatch Deep Learning Course in 20 minutes

34:16

Paper exploration: Making Diffusion Models go BRRR!

40:17

AIAIART #9 - Evolutionary Algorithms and CPPNs

36:50

AIAIART #8 - Neural Cellular Automata

01:02:56

AIAIART Lesson 7.5

44:44

AIAIART Lesson #7 - Diffusion Models

39:11

AIAIART Lesson 6

22:56

AIAIART Lesson #5

36:18

HugGAN sprint - demo project

49:00

Come along for the ride as I dive into an ML contest (MABe 2 on AICROWD)

01:01

AI Art Showreel (Jan 2022)

58:09

AIAIART Lesson #4 (Live session recording)

34:45

AIAIART Lesson #3

01:00:09

AIAIART Lesson 2

01:09:05

AIAIART Lesson 1

02:44

'Mars Affair'

10:56

Getting to Grips with AI ART

05:40

Competition Attempts: ADDi Alzheimers Detection Challenge

09:47

Competition attempts: BirdClef 2021 Initial Approach

15:27

Competition Attempts: MABE Challenge first thoughts

02:48

Meet DotSwarm: A Slime-Mould-Inspired Shader

11:29

Days of Code 2: WhistleGen - generating Irish music with machine learning