awesome-transformer-nlp VS KoGPT

Compare awesome-transformer-nlp vs KoGPT and see what are their differences.

awesome-transformer-nlp

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning. (by cedrickchee)

KoGPT

GPT-2 pretrained on Korean datasets. (by ksjae)
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awesome-transformer-nlp KoGPT
1 1
1,038 54
- -
7.3 0.0
7 days ago over 2 years ago
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.

awesome-transformer-nlp

Posts with mentions or reviews of awesome-transformer-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-06.

KoGPT

Posts with mentions or reviews of KoGPT. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-transformer-nlp and KoGPT you can also consider the following projects:

awesome-chatgpt - Curated list of ChatGPT related resource, tools, prompts, apps / ChatGPT 相關優質資源、工具、應用的精選清單。

TabNine - AI Code Completions

RL4LMs - A modular RL library to fine-tune language models to human preferences

pistoBot - Create an AI that chats like you

awesome-language-agents - List of language agents based on paper "Cognitive Architectures for Language Agents"

GPT-Jailbreak - This repository contains the jailbreaking process for GPT-3, GPT-4, GPT-3.5, ChatGPT, and ChatGPT Plus. By following the instructions in this repository, you will be able to gain access to the inner workings of these language models and modify them to your liking.

Annotated-ML-Papers - Annotations of the interesting ML papers I read