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4 steps toward integrating genAI into DevSecOps processes

CIO

Accelerating vulnerability remediation with genAI Although the responsibilities of developers, security professionals, and operations teams overlap, their communications are often hampered by the inability to quickly grasp esoteric terms that are specific to each discipline. Train genAI models on internal data.

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.

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When your AI chatbots mess up

CIO

Barely a year after the release of ChatGPT and other generative AI tools, 75% of surveyed companies have already put them to work, according to a VentureBeat report. The firm admitted that it “failed to believe that a piece of technology could be making up cases out of whole cloth.” In AI parlance, they’re called hallucinations.

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“Cloud adoption momentum in the GCC will gain further impetus in 2024”

CIO

This year, GenAI and Large Language Models, such as ChatGPT, are positioned as vectors of change. Developing generative AI implementation strategies will be imperative for technology leaders, prioritizing key areas such as business model building, internal operational improvements, risk mitigation, and overall organizational efficiency.

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More Than Just AI: How To Successfully Develop AI Products

Mentormate

The centerpiece is, unequivocally, AI technology itself. Directing your efforts and allocating your resources primarily toward the development and enhancement of your AI capabilities should be your paramount focus. The bot was trained using Twitter data, but it wasn’t given an understanding of inappropriate language.

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Risk Management for AI Chatbots

O'Reilly Media - Ideas

Does your company plan to release an AI chatbot, similar to OpenAI’s ChatGPT or Google’s Bard? That doesn’t sound so bad, right? That model creates the response images or text by interpreting the prompt and then replaying (a probabilistic variation of) the patterns it uncovered in its training data.

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AI, Cybersecurity and the Rise of Large Language Models

Palo Alto Networks

As cybersecurity continuously evolves, so does the technology that powers it. LLMs, like OpenAI ChatGPT or Google Bard, use deep learning and extensive training on text data to excel in tasks, such as translation, content creation and question answering. Good data is crucial in cybersecurity for several reasons.