I recently found this document What Is Auto-GPT, and How Does It Differ From ChatGPT? that suggests the difference between Auto-GPT and ChatGPT. Currently there are more and more AI tools emerging in the market which might or might not serve different vision.
As far as I know, AutoGPT is also an AI Chatbot but whether the experience in AutoGPT will be better than that in ChatGPT. Has anyone experienced it yet? How does it work and I welcome any examples for my curiosity? How to apply Auto-GPT in testing particularly and software generally?
Based on the article, it seems that Auto-GPT has a different goal compare to ChatGPT. Sure, they both use OpenAI’s Generative Pre-trained Transformer, but their use cases are rather different.
AutoGPT to me seems more suited to tasks of which you are looking to get something out of it in the end e.g. preparing outlines for podcasts as the article suggests. It is definitely more powerful than ChatGPT in the sense that it could continuously prompt the GPT system until it (or I guess we) get desirable results → humans need not intervene (mostly).
Whereas ChatGPT is used more for research-oriented, or open-ended tasks.
No, Auto-GPT and ChatGPT are not competitors. Auto-GPT refers to the process of automatically generating code using the GPT architecture, while ChatGPT is an AI language model designed for interactive conversations. They serve different purposes and can be seen as complementary tools rather than direct competitors - Source