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Spectrum; not just the large language models but image and video models. That’s why the time to plateau will be longer. It’s a bucket of all kinds of models. Dig deeper: Why we care about AI in marketing Q: It’s possible to imagine things that could be very disruptive to generative AI. One is regulation — there are real concerns, especially in Europe, about large language models scraping personal data. The other relates to copyright. Have you taken those kinds of possible disruptions into account here? A: Yes, they are part of the

The first issue

Actually the trust aspect. Regardless of external regulations, there’s still a fundamental feel that it’s very hard to control the models’ outputs and to guarantee the outputs are actually b2b leads correct. That’s a big obstacle. As you mentioned, there’s also the cloud around regulations. If in Europe the models come under significant regulation, they might not even be available; we have already seen ChatGPT removed there for some time. If the big enterprises do see that it’s too much trouble to comply, they may simply withdraw their services

From that region

There’s also the legal side. These models are based on, as you said, data that includes copyrighted data scraped from the web. If the providers BT Lists of that data start to ask for appropriate redemption, that has an impact on the future level of usage of these models as well. Then there’s the security side. How secure can you make these models against things like attacks. Definitely some headwinds here to navigate. Q: We hear

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