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add intro video #233

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merged 8 commits into from
Apr 18, 2024
Merged

add intro video #233

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0b3aa9f
add video
lessw2020 Apr 16, 2024
43a2e3a
add video with width
lessw2020 Apr 16, 2024
6e03cfa
add </video> tag
lessw2020 Apr 16, 2024
a276e5e
add YT video link
lessw2020 Apr 16, 2024
1c9c6cb
add HD video link
lessw2020 Apr 16, 2024
551b896
Add files via upload
lessw2020 Apr 18, 2024
dccd7e9
update to local image for play video
lessw2020 Apr 18, 2024
cb921bd
Merge branch 'main' into add_intro_video
lessw2020 Apr 18, 2024
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -15,6 +15,11 @@
* Modular components instead of monolithic codebase.
* Get started in minutes, not hours!

### Intro video - learn more about torchtitan in under 4 mins:

[![Welcome to TorchTrain!](https://res.cloudinary.com/marcomontalbano/image/upload/v1713243056/video_to_markdown/images/youtube--ee5DOEqD35I-c05b58ac6eb4c4700831b2b3070cd403.jpg)](https://youtu.be/ee5DOEqD35I?si=_B94PbVv0V5ZnNKE "Welcome to TorchTrain!")


Please note: `torchtitan` is a proof-of-concept for Large-scale LLM training using native PyTorch. It is (and will continue to be) a repo to showcase PyTorch's latest distributed training features in a clean, minimal codebase. torchtitan is complementary to and not a replacement for any of the great large-scale LLM training codebases such as Megatron, Megablocks, LLM Foundry, Deepspeed, etc. Instead, we hope that the features showcased in torchtitan will be adopted by these codebases quickly. torchtitan is unlikely to ever grow a large community around it.

## Pre-Release Updates:
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