With better linguistic and contextual quality,

[shukla7789]

In your use, how does the understanding of images change? What are the new possibilities?
Laurent J. – From an SEO point of view, if you work for a travel site, the difficulty is finding the right content and illustrating the message. Here we can do the opposite: have a factual photo (not generated by AI for real places) and ask GPT 4 to describe the image. This allows you to write better content by contextualizing it with the image. As part of Google's evolution, which allows you to find information from a photo, there is surely an optimization that will happen naturally during the deployment of MuM (Multitask Unified Model, Google's new algorithm) .

Louis B. – I expect to see this feature used iran mobile database to have automated alternative attribute generation solutions . In the near future, this will probably be natively integrated into Google with the engine no longer needing alt to analyze images in case they manage to optimize the cost. This also gives ideas to enrich the content of a page by describing an image in detail or to generate product sheets from packshots.

will the answers provided by GPT 4 begin to be confused with human responses? Will here still be a need to go back over them?
Laurent J. – We're seeing an evolution in French. This is also the case in all languages, so English, Spanish, or even Breton content must have improved in quality. Google will be able to give the user an answer in their language based on information created in another. The content could probably be marked as duplicate, and with the ability to write in another language, we can create much more user-oriented content by targeting other keywords that aren't the same in another market. In fact, I've reserved the domain name https://ai.bzh where I'm going to put a Breton-French translator. A nod to Olivier Andrieu and his Asterix

Louis B. – It depends on the topics, especially on more expert subjects, but generally speaking, yes. With GPT 3.5, a trained eye easily recognized the text and sentence structures resulting from the tool. This is still the case for many responses, but in a much more refined way. By working on your prompts well, you can achieve very credible results .

Yannick B. – The question is not whether there is a need, but simply whether it is really desirable not to have to go back over it. Whatever happens, we must consider AI as a super-talented intern . It can often be very efficient, fast, insightful and very well trained, but it is still necessary to consider that it is learning and that it has many reasons and chances to be wrong. We cannot let an AI represent the image of a company. We always need to check whether the response is correct, consistent and effective in relation to the initial request.