Remove ChatGPT Remove Software Review Remove Training Remove Weak Development Team
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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. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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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. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete. In AI parlance, they’re called hallucinations. Security guardrails.

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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews. Could AI summarize those?

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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

Directing your efforts and allocating your resources primarily toward the development and enhancement of your AI capabilities should be your paramount focus. AI specialists are perfectly capable of developing a service that gives results based on strictly defined search criteria, but this doesn’t necessarily solve the actual human problems.

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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 code was too trusting, though. Which means your chatbot is effectively a naive person who has access to all of the information from the training dataset. What Can You Do?