Все публикации

0:24:15

4. Writing MLLM from scratch

0:21:39

Torchtune: A new finetuning library for LLMs

0:14:54

3. Vision base - Clip-14

0:12:36

Weekly AI paper overview- 10/29/24 - Pixtral, Differential Transformers

0:16:14

Weekly AI paper overview- 10/1/24 - LLAMA3.2, Self correction using RL

0:10:54

Part 4 : Trainer

0:20:51

Part 1 : OLMO Paper

0:41:19

Part 2 : The model definition

0:13:11

Part 3: Training Script

0:16:30

Weekly AI paper overview - 7/25/2024

0:08:57

Weekly AI paper overview- 7/7/24

0:11:26

Weekly AI paper overview- 6/18/24

0:17:21

Weekly AI paper overview- 6/9/24

0:22:42

2. LLM base - Phi3

0:12:07

Weekly AI paper overview- 5/9/24

0:00:59

LayerSkip - Rapid Paper Review

0:27:43

1. Architecture overview of MLLM: MiniGPT4

0:29:43

Halide 4 - Multi-Stage Scheduling

0:41:56

All About Normalizations! - Batch, Layer, Instance and Group Norm

0:15:14

PyTorch - torch.jit Optimize your model

0:21:42

PyTorch - Convolution under the hood (Unfolding/Folding)

0:35:17

PyTorch - Transformer code walkthrough - Part 2 Actual Code

0:36:33

PyTorch - Transformer code walkthrough - Part 1 Theory

0:30:47

Halide 3 - Scheduling Basics