
Rules and Rule Markup Languages for the Semantic Web
Michael Schroeder, Gerd Wagner
₹5,532

Hands-On Privacy-Preserving Techniques for Personalized AI
by Baihan Lin
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As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions.
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