When solving repetitive everyday

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In addition to products from giant companies, there are also local solutions, such as Jay CoPilot from Just AI from St. Petersburg. The solution is based on its own development - a large language model JustGPT, based on the open-source model LLaMA-2.

The chatbot is available to users after registration. The smart assistant can write code based on a text description, find errors in it and provide explanations. Trust and verify tasks, a programmer is tempted to request a piece of code from an AI assistant or, for example, to ask which framework is more convenient to use to solve a specific problem.

However, it is important not to forget that the generated new zealand telegram number database code requires mandatory verification, especially if we are talking about further commercial exploitation of a program fragment. Today, it is precisely the lack of trust in the results of work that remains the main stopping factor for deeper use of smart assistants when writing code.

Thus, according to Stack Overflow, only 3% of respondents confirmed their trust in the code generated by the AI ​​assistant. Take an AI course to improve personal efficiency, simplify your life, and automate your business In addition, the hype around generative models misses the fact that in any software, the correct architecture of the solution and its components is extremely important.