Synonyms that are in the dictionary are marked in green. Synonyms that are not in the dictionary are marked in red.
Antonyms that are in the dictionary are marked in green. Antonyms that are not in the dictionary are marked in red.
ENS’s job is to map human-readable names like ‘alice.
Generative AI converts these acronyms and numbers into human-readable information that anybody can understand, making these systems more valuable for the average user.
Source: https://www.infoworld.com/article/3711028/how-generative-ai-changes-the-data-journey.html
The first challenge that Elemendar has been created to solve is to take the human-readable, human-produced intelligence from those incomprehensible forms to machines, and make them into something that machines can use.
The LLM can draw upon rich Cohesity context to provide more informed, human-readable and actionable responses.
Source: https://www.helpnetsecurity.com/2023/05/24/cohesity-google-cloud/