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ChatGPT for Developers: Key Use Cases in Software Development

Apiumhub

This language model can help you with coding, email creation, and essay writing and answer your inquiries. While AI can provide coding examples at present, in the future, AI models might aid engineers in answering questions about architectures and design patterns.

ChatGPT 73
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IT leaders uplift women to fill tech talent gaps

CIO

With an undergraduate degree in political science and time spent as a Peace Corps and AmeriCorps volunteer, Lain McGrath hardly envisioned a career in software engineering. Yet after onboarding at HR SaaS provider Gusto in a customer experience (CX) role, exposure to coding sparked McGrath’s interest in shifting professional tracks.

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AI in Healthcare: Use Cases, Latest Trends, and Many More

Openxcell

Artificial intelligence in healthcare is gradually changing. The use of artificial intelligence in healthcare can literally improve the lives of patients, improving diagnostics and treatment, and assisting them in making informed medical decisions easily.

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Cybersecurity Snapshot: Cyber Agencies Offer Secure AI Tips, while Stanford Issues In-Depth AI Trends Analysis, Including of AI Security

Tenable

Plus, Stanford University offers a comprehensive review of AI trends. 1 - Multinational cyber agencies issue best practices for secure AI deployment Looking for best practices on how to securely deploy artificial intelligence (AI) systems? funding, technical expertise), and the infrastructure used (i.e., And much more!

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Cybersecurity Snapshot: New Guide Explains How To Assess If Software Is Secure by Design, While NIST Publishes GenAI Risk Framework

Tenable

Is the software your company wants to buy securely designed? But how can you determine if the manufacturer built the software following secure-by-design principles? The authoring agencies define the secure-by-design principles that software manufacturers should follow when building digital products and services. And much more!

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The Dark Side of AI in Cybersecurity — AI-Generated Malware

Palo Alto Networks

Our objective is to present different viewpoints and predictions on how artificial intelligence is impacting the current threat landscape, how Palo Alto Networks protects itself and its customers, as well as implications for the future of cybersecurity.

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

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.