Launch of ChatGPT 4 and creation of Prompt Engineering

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There are many challenges with the classic approach to implementing AI. You need to find highly skilled engineers, which are expensive and rare, you need to attract them and provide them with interesting tasks. In addition, you constantly have to work with data, which is the most difficult part, because data is everything.

Constant communication between technical and china telegram data business teams also creates difficulties, as these people often do not understand each other. As a result, the output is a certain AI solution that works, but after the first iteration it will most likely not work 100%. This cycle will have to be started again.

Cost of use

Such solutions cost from tens of thousands to millions of dollars. And, as I say, there is no end to improving models and creating new ones, working with neural networks can be endless.

The real breakthrough was the release of ChatGPT-4 by OpenAI. I'll stop here for a moment, and then we'll go deeper.

What happened?

Andriy Karpaty

As Andriy Karpaty, the former head of AI at Tesla, who now works at OpenAI, said, the hottest programming language right now is English. And it really is. Now you don't need to know linear algebra or matrix multiplication. All you need to know is English and be an expert in your field. And that's enough for you to be able to create some optimizations today, at home or in the office, after our event. I'll show you how.

With this paradigm, a new approach and a new role in the labor market appear - "PROMPT ENGINEER", and in general such a field as "PROMPT ENGINEERING". Companies are ready to pay such specialists $ 300,000 per year, such as, for example, the company ANTHROPIC, which was recently acquired by GOOGLE. This indicates the high value of these specialists.