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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

Unlike traditional software, GenAI applications interact with and learn from the data we feed them. It shows the need for implementing data management and security protocols to prevent compromising information such as private data. This brings attention to the poor security of systems due to user error and a lack of awareness.

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Securing AI Development: Addressing Vulnerabilities from Hallucinated Code

Unite.AI

Amidst Artificial Intelligence (AI) developments, the domain of software development is undergoing a significant transformation. Researchers at Vulcan Cyber have highlighted this issue, showing how AI-generated content, such as recommending non-existent software packages, could unintentionally facilitate cyberattacks.

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3 Ways Generative AI Is Revolutionizing Workforce Management

Unite.AI

These employees often face high turnover rates and may not have the opportunity or desire to undergo intensive software training. These employees often face high turnover rates and may not have the opportunity or desire to undergo intensive software training. One significant challenge in WFM is catering to deskless workers.

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Peter Wang, CEO & Co-Founder of Anaconda – Interview Series

Unite.AI

Prior to founding Anaconda (formerly Continuum Analytics), Peter spent 15 years in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging. Peter Wang is the CEO and co-founder of Anaconda.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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The history of Kubernetes

IBM Journey to AI blog

When it comes to modern IT infrastructure, the role of Kubernetes —the open-source container orchestration platform that automates the deployment, management and scaling of containerized software applications (apps) and services—can’t be underestimated.

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Open source large language models: Benefits, risks and types

IBM Journey to AI blog

There are two types of these generative AI models: proprietary large language models and open source large language models. On the other hand, open source LLMs are free and available for anyone to access, use for any purpose, modify and distribute. What are the benefits of open source LLMs?