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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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ChatGPT: Everything you need to know about the AI-powered chatbot

TechCrunch

ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm. It’s able to write essays, code and more given short text prompts , hyper-charging productivity. ChatGPT was recently super-charged by GPT-4 , the latest language-writing model from OpenAI’s labs. And OpenAI is heavily investing in it.

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

Tenable

Use infrastructure-as-code to automate deployment of cloud resources. 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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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. ChatGPT changed the industry, if not the world. But AI is going to bring changes to almost every aspect of the software industry.

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