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Exploring the pros and cons of cloud-based large language models

CIO

As a result of ongoing cloud adoption, developers face increased pressures to rapidly create and deploy applications in support of their organization’s cloud transformation goals. Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them.

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India’s advisory on LLM usage causes consternation

CIO

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

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The path to socially responsible AI

CIO

For 15 years, Stack Overflow has enabled developers and technologists to build and innovate faster. Let’s be clear, if coding was easy, the world wouldn’t need senior developers or Stack Overflow. We believe AI has evolved from being a tool of developers to being a part of the community itself.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Artificial Intelligence in Cybersecurity: Good or Evil?

CIO

As I reflect on the biggest technology innovations during my career―the Internet, smartphones, social media―a new breakthrough deserves a spot on that list. Generative AI has taken the world seemingly by storm, impacting everything from software development, to marketing, to conversations with my kids at the dinner table.

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4 ways AI will change the ITOps landscape in 2024

CIO

If developers also adopt GenAI, the result could be a surge in the volume of code shipped into ecosystems, which could result in more complexity, more demand, and more incidents. Large language models (LLMs) are only as good as the data they leverage. But here’s where technology comes back into play.

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LLM in the Cloud — Advantages and Risks

Prisma Clud

LLM and Cloud Security Let’s explore the relationship between LLMs and cloud security, discussing how these advanced models can be dangerous, as well as leveraged to improve the overall security posture of cloud-based systems. Examples of LLMs include OpenAI's ChatGPT, Google’s Bard and Microsoft's new Bing search engine.