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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
1:00:34
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'
7:03
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
4:08:37
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
8:26
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)
1:11:46
TGL Discussion Series: Hamel Husain
29:55
TGL Discussion Series: Jason Antic
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