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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Cybersecurity Snapshot: If Recession Hits, Infosec Teams Expected to Suffer the Fewest Job Losses

Tenable

Find out why a study says cybersecurity pros will weather staff reductions better than all other employees. Plus, AI abuse concerns heat up as users jailbreak ChatGPT. Also, learn all about the ransomware threat from North Korea aimed at hospitals. Then check out how the Reddit breach has put phishing in the spotlight. And much more!

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Technology Trends for 2024

O'Reilly Media - Ideas

Generative AI is the wild card: Will it help developers to manage complexity? It’s tempting to look at AI as a quick fix. Whether it will be able to do high-level design is an open question—but as always, that question has two sides: “Will AI do our design work?” Did generative AI play a role?

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John Snow Labs’ Large Language Models and AWS Marketplace

John Snow Labs

In the field of healthcare, LLMs hold immense potential for a wide range of applications, from clinical note summarization to medical data de-identification. John Snow Labs, has introduced their Healthcare NLP library and a suite of healthcare-specific LLMs, offering industry-leading accuracy and privacy.

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4 lessons healthcare can teach us about successful applications of AI

CIO

There’s been no shortage of new tools, claims, and ideas about what generative AI can, cannot, and should not do over the past year. The healthcare industry is the exception, with a breadth of generative AI use cases under its belt. Here are 4 lessons from applications of AI in healthcare.