educational-transformer
gpt-neo
| educational-transformer | gpt-neo | |
|---|---|---|
| 1 | 82 | |
| 2 | 6,158 | |
| - | - | |
| 3.8 | 7.3 | |
| 8 months ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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educational-transformer
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?
DialoGPT - Large-scale pretraining for dialogue
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
awesome-pretrained-chinese-nlp-models - Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合
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.
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
openchat - OpenChat: Easy to use opensource chatting framework via neural networks
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
tensorflow - An Open Source Machine Learning Framework for Everyone
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lm-evaluation-harness - A framework for few-shot evaluation of language models.
aitextgen - A robust Python tool for text-based AI training and generation using GPT-2.