What is offered on the coding side is increasing. For example, Gemini Advanced was updated today with a useful Python facility.
It can be purchased for 720 TL per month in Turkey. Subscribers of the Gemini Advanced package now Python able to edit code snippets directly in Gemini’s user interface And quickly for testing can run. This facility allows you to experiment with the code, see how changes affect the output, and verify that the code works as intended. The company makes the following statement about this beautiful update: “These coding capabilities will be particularly useful for two different situations: Learning and Verification. For example, students can play with Gemini’s code examples to better understand how changes affect the output. This interactive learning experience can help you understand coding concepts more effectively. Thanks to this system, developers can quickly check whether the codes produced by Gemini are working correctly or not before transferring them to their systems. This saves you time and ensures that the code you use is functional.”
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Gemini 1.5 was announced recently. Google’s new generation artificial intelligence model Gemini 1.5is the new version of Gemini, which was officially introduced recently (it had different versions), and it can currently only be tried by developers and corporate users. Google stated that it will release the new system for everyone later. prepared It promises a much more comprehensive productive artificial intelligence experience with its 1.5 version. And It significantly increases the output, i.e. response speed.. Besides 1.5, Google also prepared 1.5 Pro, which is said to be at the same level as Gemini Ultra, and stated that Gemini 1.5 has a huge context window. can handle much larger queries And He states that he can look at much more information at the same time., this significantly increases the capacity of what can be done with the system. To compare here, 128k for OpenAI’s GPT-4, 32k for Gemini Pro, 1 million for Gemini version 1.5 “tokens” (When explaining OpenAI tokens, examples such as 100 tokens ~= 75 words or 1,500 words ~= 2048 tokens gives) value is explained.