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Headline : Looking for reliable AI? Enkrypt identifies safest LLMs with new tool

Read more from the original article on here at venturebeat.com.





Tags : #looking #reliable #ai #enkrypt #identifies #safest #llms #new #tool


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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.

In the age of generative AI, the safety of large language models (LLMs) is just as important as their performance at different tasks. Many teams already realize this and are pushing the bar on their testing and evaluation efforts to foresee and fix issues that could lead to broken user experiences, lost opportunities and even regulatory fines.

But, when models are evolving so quickly in both open and closed-source domains, how does one determine which LLM is the safest to begin with? Well, Enkrypt has the answer: a LLM Safety Leaderboard. The Boston-based startup, known for offering a control layer for the safe use of generative AI, has ranked LLMs from best to worst, based on their vulnerability to different safety and reliability risks.

The leaderboard covers dozens of top-performing language models, including the GPT and Claude families. More importantly, it provides some interesting insights into risk factors that might be critical in choosing a safe and reliable LLM and implementing measures to get the best out of them.

Read more from the original article on here at venturebeat.com.


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