self-instruct VS Open-Assistant

Compare self-instruct vs Open-Assistant and see what are their differences.

self-instruct

Aligning pretrained language models with instruction data generated by themselves. (by yizhongw)

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. (by LAION-AI)
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self-instruct Open-Assistant
3 329
3,666 36,699
- 0.4%
2.3 8.3
about 1 year ago 10 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.
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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.

self-instruct

Posts with mentions or reviews of self-instruct. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-13.

Open-Assistant

Posts with mentions or reviews of Open-Assistant. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-08.

What are some alternatives?

When comparing self-instruct and Open-Assistant you can also consider the following projects:

ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

KoboldAI-Client

CodeCapypara - [Moved to: https://github.com/FSoft-AI4Code/CodeCapybara]

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.

llama.cpp - LLM inference in C/C++

LongForm - Reverse Instructions to generate instruction tuning data with corpus examples

llama - Inference code for Llama models

gpt4all - gpt4all: run open-source LLMs anywhere