summary-gpt-bot VS gpt-neo

Compare summary-gpt-bot vs gpt-neo and see what are their differences.

summary-gpt-bot

An AI-powered text summarization Telegram bot that generates concise summaries of text, URLs, PDFs, and YouTube videos. (by tpai)

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. (by EleutherAI)
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summary-gpt-bot gpt-neo
2 82
164 6,158
- -
7.1 7.3
20 days ago about 2 years ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

summary-gpt-bot

Posts with mentions or reviews of summary-gpt-bot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-28.

gpt-neo

Posts with mentions or reviews of gpt-neo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-19.

What are some alternatives?

When comparing summary-gpt-bot and gpt-neo you can also consider the following projects:

gpt4free - The official gpt4free repository | various collection of powerful language models

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

youtube-summary-cli - A CLI app to get a youtube video summary from a youtube url

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

EdgeGPT - Reverse engineered API of Microsoft's Bing Chat AI

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.