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6 generative AI hazards IT leaders should avoid

CIO

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

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Cybersecurity Snapshot: NSA Picks Top Cloud Security Practices, while CNCF Looks at How Cloud Native Can Facilitate AI Adoption

Tenable

The paper provides an overview of AI and ML techniques, explains what CN technologies offer; discusses existing technical challenges in areas such as data preparation, model training and user experience; and looks at ways to overcome these gaps. “The

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Cybersecurity Snapshot: As OpenAI Honcho Hits Capitol Hill, Regulatory Storm Clouds Form Over AI La La Land

Tenable

where Sam Altman, CEO of ChatGPT-maker OpenAI, testified before the U.S. Senate Judiciary Committee’s Subcommittee on Privacy, Technology and the Law. At least, that’s the opinion from the majority of AI experts consulted by MIT Sloan Management Review and Boston Consulting Group.

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Prompt Engineering: The Guide to Mastering The Art of Talking to AI

Altexsoft

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” ChatGPT ), image generators (e.g., Many publications, including Time Magazine , have reported on the growing importance of prompt engineers across various sectors.