PaLM-rlhf-pytorch
gpt-neo
PaLM-rlhf-pytorch | gpt-neo | |
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25 | 82 | |
7,611 | 6,158 | |
- | - | |
4.6 | 7.3 | |
5 months ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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PaLM-rlhf-pytorch
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How should I get an in-depth mathematical understanding of generative AI?
ChatGPT isn't open sourced so we don't know what the actual implementation is. I think you can read Open Assistant's source code for application design. If that is too much, try Open Chat Toolkit's source code for developer tools . If you need very bare implementation, you should go for lucidrains/PaLM-rlhf-pytorch.
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[P] Open-source PaLM models trained at 8k context length
AFAIK, it is not. They are using the open-source re-implementation of Phil Wang (aka lucidrains), which is available here: https://github.com/lucidrains/PaLM-rlhf-pytorch
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Should AI language models be free software?
Not sure what do you mean by putting source code in double quote, but I don't think the source code is petabytes of text. GPT-2 implementation is few hundred lines of Python (in HuggingFace). PaLM + RLHF - Pytorch (Basically ChatGPT but with PaLM) is less than 1000 lines.
- Would a decentralized open-source platform of ChatGPT work?
- Exciting new shit.
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Top 10 Best Open Source GitHub repos for Developers 2023
GitHub Link: https://github.com/lucidrains/PaLM-rlhf-pytorch
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Gather up great coders and make a better Character.Ai
Well... Not necessarily. Actually, if you want to be extra thrifty, you could even go without an ML expert. Just use an open-source one, like LaMDA or PaLM. After that, use chatGPT to build you a basic front end (which would still be better than CAI lol).
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Open-Source competitor to OpenAI?
and PaLM with RLHF from Phil Wang (open model, needs to be trained): https://github.com/lucidrains/PaLM-rlhf-pytorch
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Microsoft in talks to acquire a 49% stake in ChatGPT owner OpenAI
Closest you can get is probably with Google T5-Flan [1].
It is not the size of the model or the text it was trained on that makes ChatGPT so performant. It is the additional human assisted training to make it respond well to instructions. Open source versions of that are just starting to see the light of day [2].
[1] https://huggingface.co/google/flan-t5-xxl
[2] https://github.com/lucidrains/PaLM-rlhf-pytorch
- Will we have a free version of ChatGPT (GPT-3) similar to Stable Diffusion?
gpt-neo
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How Open is Generative AI? Part 2
By December 2020, EleutherAI had introduced The Pile, a comprehensive text dataset designed for training models. Subsequently, tech giants such as Microsoft, Meta, and Google used this dataset for training their models. In March 2021, they revealed GPT-Neo, an open-source model under Apache 2.0 license, which was unmatched in size at its launch. EleutherAI’s later projects include the release of GPT-J, a 6 billion parameter model, and GPT-NeoX, a 20 billion parameter model, unveiled in February 2022. Their work demonstrates the viability of high-quality open-source AI models.
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Creating an open source chat bot like ChatGPT for my own dataset without GPU?
Yeah, if that is your requirement you should definitely ignore chatterbot, as its older and probably not what your teacher wants. I'm looking at the gpt-neo docs right now: https://github.com/EleutherAI/gpt-neo
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Any real competitor to GPT-3 which is open source and downloadable?
3.) EleutherAI's GPT-Neo and GPT-NeoX: EleutherAI is an independent research organization that aims to promote open research in artificial intelligence. They have released GPT-Neo, an open-source language model based on the GPT architecture, and are developing GPT-NeoX, a highly-scalable GPT-like model. You can find more information on their GitHub repositories: GPT-Neo: https://github.com/EleutherAI/gpt-neo GPT-NeoX: https://github.com/EleutherAI/gpt-neox
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⚡ Neural - AI Code Generation for Vim
This is one of the first comprehensive plugins that has been rewritten to support multiple AI backends such as OpenAI GPT3+ and other custom sources in the future such as ChatGPT, GPT-J, GPT-neo and more.
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Looks like some Taliban fighters are getting burnt out working the 9-5 grind
GPT-Neo is newer than GPT-2 on the open source side of things. In my experience, it tends to give longer and more creative responses than GPT-2 but not on the level of GPT-3. I've not tried GPT-J or GPT-NeoX, but they're also open source and reportedly better than GPT-Neo (albeit less accessible).
- H3 - a new generative language models that outperforms GPT-Neo-2.7B with only *2* attention layers! In H3, the researchers replace attention with a new layer based on state space models (SSMs). With the right modifications, they find that it can outperform transformers.
- First Open Source Alternative to ChatGPT Has Arrived
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Where is the line for AI and where does ChatGPT stand?
Finally, yes-- it is trained via masked language modeling (text prediction). The approach has been fairly standard for years- the big difference with the GPT* models is the number of paramaters and volume of text-- we still haven't reached a ceiling with LLM parameters- they appear to keep improving with size. This training allows the model to learn a strong representation of language. Their training approach is published and open-source GPT* versions have already been made and released (https://github.com/EleutherAI/gpt-neo). However, the models are huge and can't be run locally for hobbyists. This gets at larger issues in democratization of ML.
- Using the GPT-3 AI Writer inside Obsidian(This is COOL)
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Teaser trailer for "The Diary of Sisyphus" (2023), the world's first feature film written by an artificial intelligence (GPT-NEO) and produced Briefcase Films, my indie film studio based in Northern Italy
- GPT-Neo 2.7B, released Mar/2021, and unmaintained/unsupported as of Aug/2021? or;
What are some alternatives?
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
openchat - OpenChat: Easy to use opensource chatting framework via neural networks
ggml - Tensor library for machine learning
tensorflow - An Open Source Machine Learning Framework for Everyone
trlx - A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.