ColossalAI
devops-exercises
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| ColossalAI | devops-exercises | |
|---|---|---|
| 42 | 37 | |
| 37,836 | 63,339 | |
| 3.7% | - | |
| 9.7 | 7.3 | |
| 3 days ago | 11 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
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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
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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/
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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
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ColossalChat: An Open-Source Solution for Cloning ChatGPT with RLHF Pipeline
Here's the github from the article:
https://github.com/hpcaitech/ColossalAI
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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...
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how can I make my own chatGPT?
Here’s the project on GitHub: https://github.com/hpcaitech/ColossalAI
devops-exercises
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DevOps Exercises
https://github.com/bregman-arie/devops-exercises this collection might help. (Also first result for „DevOps exercises“. Get good at using a search engine, it‘s a must have skill)
- DevOps/SRE Exercises Repository
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What will be asked for devOps engineer interview?
Here's a huge collection of devops related technical interview questions: https://github.com/bregman-arie/devops-exercises.
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5 GitHub Projects to Help You Become a Better DevOps Engineer ⚡
3. DevOps Exercises
- When am I ready for a junior role?
- algun libro para aprender devops?
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Programming Languages/Certs for Networking?
https://github.com/bregman-arie/devops-exercises -> lots of jumping-off points
- GitHub - bregman-arie/devops-exercises: Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
What are some alternatives?
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
homelab - Modern self-hosting framework, fully automated from empty disk to operating services with a single command.
Megatron-LM - Ongoing research training transformer models at scale
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
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.
prom2teams - prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors
fairscale - PyTorch extensions for high performance and large scale training.
DevOps-The-Hard-Way-AWS - This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS
DeepFaceLive - Real-time face swap for PC streaming or video calls
commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.