index_advisor
ColossalAI
| index_advisor | ColossalAI | |
|---|---|---|
| 5 | 42 | |
| 1,462 | 37,989 | |
| 4.4% | 1.4% | |
| 2.8 | 9.7 | |
| about 1 month ago | 2 days ago | |
| PLpgSQL | Python | |
| PostgreSQL License | Apache License 2.0 |
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.
index_advisor
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Bloom Filter Indexes in PostgreSQL
pghero and/or https://github.com/supabase/index_advisor
If you want to pay for a saas then pganalyze is like $400 a month for 4 dbs is a pretty good pricing model
- FLaNK AI-April 22, 2024
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Supabase Security Advisor & Performance Advisor
The Supabase Index Advisor is now available inside Supabase Studio. We've integrated the Index Advisor into our existing Query Performance tool so that you can find your slowest queries and check recommendations. As its name suggests, this analyzes your queries and make recommendations to add or remove table indexes.
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Show HN: PostgreSQL Index Advisor
2. Copy/paste the plpgsql file:
https://github.com/supabase/index_advisor/blob/main/index_ad...
We are also developing the Trusted Language Extension with the RDS team, so at some point it should be easier to do this through database.dev:
https://database.dev/olirice/index_advisor
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
What are some alternatives?
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Megatron-LM - Ongoing research training transformer models at scale
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.
fairscale - PyTorch extensions for high performance and large scale training.
DeepFaceLive - Real-time face swap for PC streaming or video calls
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）
ivy - The Unified AI Framework
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
PaLM-colossalai - Scalable PaLM implementation of PyTorch
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
PaddleNLP - 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.