In my last article, we saw that artificial intelligence is getting better and better at answering our questions, regardless of the subject matter or the sector.
Using GPT-3 technology, I demonstrated that an AI can successfully pass an SEO multiple-choice test as well as solve SEO case studies.
There are other, even more advanced, technologies, such as Deepmind’s Gopher, which outperform GPT-3 in the following fields: Humanities, social sciences, medicine, science, and math.
The following graph highlights the accuracy of the answers provided by Gopher, UnifiedQA, GPT-3, and a human expert.
Depending on the subject, we can see the narrow gap between the level of the AI and that of an expert.
This also suggests that the AI could potentially exceed the level of a non-expert person.
The most interesting kind of interaction is to plug the AI into your back-office or into your web browser with a Chrome plugin.
There are numerous potential applications, as you will be able to help your users with advanced projects like document classification, writing assistance, meta-tag generation, text extraction, and even suggesting new topics.
You can connect the AI to your tools via a simple Javascript call asking it to perform specific tasks.
Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.
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