From 94c24d94447405bdd5e1f3ded997137f38147329 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Chris=20Sundstr=C3=B6m?= Date: Sun, 2 Apr 2023 16:00:57 +0200 Subject: [PATCH] Improve grammar and punctuation (#3398) Minor changes to improve grammar and punctuation. --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 2752027a6..65c8ae166 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [![logo](https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/colossal-ai_logo_vertical.png)](https://www.colossalai.org/) - Colossal-AI: Making large AI models cheaper, faster and more accessible + Colossal-AI: Making large AI models cheaper, faster, and more accessible

Paper | Documentation | @@ -115,7 +115,7 @@ distributed training and inference in a few lines. - [PatrickStar](https://arxiv.org/abs/2108.05818) - Friendly Usage - - Parallelism based on configuration file + - Parallelism based on the configuration file - Inference - [Energon-AI](https://github.com/hpcaitech/EnergonAI) @@ -129,7 +129,7 @@ distributed training and inference in a few lines.

-- Save 50% GPU resources, and 10.7% acceleration +- Save 50% GPU resources and 10.7% acceleration ### GPT-2 @@ -151,7 +151,7 @@ distributed training and inference in a few lines. ### OPT -- [Open Pretrained Transformer (OPT)](https://github.com/facebookresearch/metaseq), a 175-Billion parameter AI language model released by Meta, which stimulates AI programmers to perform various downstream tasks and application deployments because public pretrained model weights. +- [Open Pretrained Transformer (OPT)](https://github.com/facebookresearch/metaseq), a 175-Billion parameter AI language model released by Meta, which stimulates AI programmers to perform various downstream tasks and application deployments because of public pre-trained model weights. - 45% speedup fine-tuning OPT at low cost in lines. [[Example]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/opt) [[Online Serving]](https://colossalai.org/docs/advanced_tutorials/opt_service) Please visit our [documentation](https://www.colossalai.org/) and [examples](https://github.com/hpcaitech/ColossalAI/tree/main/examples) for more details. @@ -245,7 +245,7 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt

- Increase the capacity of the fine-tuning model by up to 3.7 times on a single GPU -- Keep in a sufficiently high running speed +- Keep at a sufficiently high running speed

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@@ -304,7 +304,7 @@ Requirements: - Python >= 3.7 - CUDA >= 11.0 -If you encounter any problem about installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository. +If you encounter any problem with installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository. ### Install from PyPI @@ -322,9 +322,9 @@ However, if you want to build the PyTorch extensions during installation, you ca CUDA_EXT=1 pip install colossalai ``` -**Otherwise, CUDA kernels will be built during runtime when you actually need it.** +**Otherwise, CUDA kernels will be built during runtime when you actually need them.** -We also keep release the nightly version to PyPI on a weekly basis. This allows you to access the unreleased features and bug fixes in the main branch. +We also keep releasing the nightly version to PyPI every week. This allows you to access the unreleased features and bug fixes in the main branch. Installation can be made via ```bash @@ -333,7 +333,7 @@ pip install colossalai-nightly ### Download From Source -> The version of Colossal-AI will be in line with the main branch of the repository. Feel free to raise an issue if you encounter any problem. :) +> The version of Colossal-AI will be in line with the main branch of the repository. Feel free to raise an issue if you encounter any problems. :) ```shell git clone https://github.com/hpcaitech/ColossalAI.git @@ -423,6 +423,6 @@ To cite this project, you can use the following BibTeX citation. } ``` -Colossal-AI has been accepted as official tutorials by top conference [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), etc. +Colossal-AI has been accepted as official tutorial by top conferences [SC](https://sc22.supercomputing.org/), [AAAI](https://aaai.org/Conferences/AAAI-23/), [PPoPP](https://ppopp23.sigplan.org/), [CVPR](https://cvpr2023.thecvf.com/), [ISC](https://www.isc-hpc.com/), etc.

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