The large model is open source, and entrepreneurs stand on the same starting line

Let’s talk about a few entrepreneurs I have recently contacted, in the field of AI. There are two art QR code monetizers, one model is relatively simple PS+SD, the other has a bit of technical content, pre-training several pictures, allowing users to upload their own QR codes, and then generate new QR codes in the form of The degree of automation is higher than that of PS. These two methods are less difficult to encode, and some of them can be done with ChatGPT. The point is that they have participated on a small scale to discover needs, meet them, and solve their own problems by the way.

There are also some AI interactive tools, with an interface on the back, and a little packaging on the front, which can be opened to the outside world, charged by the number of times, simple and rude. Or based on the SD open source model, set up a server and start business. This is the current direction of AI entrepreneurship for two small and medium-sized teams. The competition in this field is fierce, and it is no problem to earn a small amount of money. To achieve a big event, one has to rely on one's own true ability, instead of putting on a shell like making a lot of money.

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Several brothers have been intensively researching ChatGLM recently. My recent articles on ChatGLM are one of the contributions. The key point is that he is an expert in blockchain. At freezing point. Whether it is a product or R&D, you must keep up with the trend in the past two years, read more and read more. Whether you are a producer or a consumer in the future, it is basically difficult to leave AI for employment.

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Origin blog.csdn.net/hero272285642/article/details/132241948