ColossalAI
pavilion2


ColossalAI | pavilion2 | |
---|---|---|
42 | 1 | |
39,061 | 44 | |
0.2% | - | |
9.7 | 9.2 | |
5 days ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ColossalAI
- FLaNK AI-April 22, 2024
- Making large AI models cheaper, faster and more accessible
-
ColossalChat: An Open-Source Solution for Cloning ChatGPT with a RLHF Pipeline
> open-source a complete RLHF pipeline ... based on the LLaMA pre-trained model
I've gotten to where when I see "open source AI" I now know it's "well, except for $some_other_dependencies"
Anyway: https://scribe.rip/@yangyou_berkeley/colossalchat-an-open-so... and https://github.com/hpcaitech/ColossalAI#readme (Apache 2) can save you some medium.com heartache at least
-
Meet ColossalChat: An Open-Source AI Solution For Cloning ChatGPT With A Complete RLHF Pipeline
Quick Read: https://www.marktechpost.com/2023/04/01/meet-colossalchat-an-open-source-ai-solution-for-cloning-chatgpt-with-a-complete-rlhf-pipeline/ Github: https://github.com/hpcaitech/ColossalAI Examples: https://chat.colossalai.org/
-
A top AI researcher reportedly left Google for OpenAI after sharing concerns the company was training Bard on ChatGPT data
One of the current methods for training competing models is to have ChatGPT literally create prompt -> completion data sets. That's what was used for https://github.com/hpcaitech/ColossalAI. A model based off of the Llama weights released by facebook, then fine tuned on ChatGPT3.5 prompt + completions. So yes, there is a good chance that google is literally using ChatGPT in the training loop.
- Colossal-AI: open-source RLHF pipeline based on LLaMA pre-trained model
- ColossalChat
-
ColossalChat: An Open-Source Solution for Cloning ChatGPT with RLHF Pipeline
Here's the github from the article:
https://github.com/hpcaitech/ColossalAI
-
Open source solution replicates ChatGPT training process
The article talks about their RLHF implementation briefly. There’s details on their RLHF implementation here: https://github.com/hpcaitech/ColossalAI/blob/a619a190df71ea3...
-
how can I make my own chatGPT?
Here’s the project on GitHub: https://github.com/hpcaitech/ColossalAI
pavilion2
-
Node Health Check for HPC clusters?
And that's not all; it's also being used in concert with Pavilion2 (i.e., https://github.com/hpc/pavilion2), our extensive software test/validation suite written by our Programming & Runtime Environments (PRE) Team. We've even begun to use it for compliance and audit tasks!
What are some alternatives?
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
udocker - A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
Megatron-LM - Ongoing research training transformer models at scale
prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
DeepFaceLive - Real-time face swap for PC streaming or video calls
nhc - LBNL Node Health Check
ivy - Convert Machine Learning Code Between Frameworks
spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
IntelliType - Automate the typing process
fairscale - PyTorch extensions for high performance and large scale training.
konduktor - cluster/scheduler health monitoring for GPU jobs on k8s [GET https://api.github.com/repos/Trainy-ai/konduktor: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]

