Essentially, Auto-GPT is an automatic text generation technique that uses deep learning algorithms to generate human-like text. It is based on the Generative Pretrained Transformer ( GPT ) architecture, a neural network designed to generate natural language text.
Source: https://github.com/Significant-Gravitas/Auto-GPT
According to the developer, Auto-GPT is driven by GPT-4 and uses the same underlying language model as ChatGPT. But there are certain differences between the two. Compared with ChatGPT, one of the most prominent advantages of Auto-GPT is the ability to decompose AI steps.
Auto-GPT can perform tasks autonomously and cover a wide range of transactions according to user needs without user intervention at all, including daily event analysis, marketing plan writing, code programming, mathematical operations, etc. For example, foreign developers need Auto-GPT to create a website, and AutoGPT immediately calls the React framework to generate a front-end page. Not only that, Auto-GPT can also develop a reasonable advertising strategy and build a website based on key tips such as "help me grow my flower business" output by users.
The performance in the medical field is no less favorable. Daniel Kraft, MD, spoke highly of AutoGPT. He said that AutoGPT is like a "child" that can bring new disruptive effects. It can apply ChatGPT's reasoning ability to multiple steps. Extensive, complex and requires planning among the problems. Although AutoGPT is still in its early stages, it has amazing performance in many health and biomedical applications.
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