Mail Merge explained [with use cases + tutorials]
In this guide, we explain mail merge in detail. We discuss its use cases and provide a step-by-step tutorial on Microsoft 365 and Google Editors.
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In this guide, we explain mail merge in detail. We discuss its use cases and provide a step-by-step tutorial on Microsoft 365 and Google Editors.

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Top 22 Java Design Patterns Interview Questions & Answers (2021)1) Explain what is Java Design Pattern?A design pattern is a language independent strategy for solving common object-oriented design problem. It describes how to structure classes to meet a given requirement.2) Explain what is creat..

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Join us on 20th July at 9 AM PDT for a webinar on Declarative Provisioning and Observability with Pravanjan Choudhury.

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Deploying machine learning models into production requires selecting the right platform based on your needs. Managed cloud services provide end-to-end scaling while open source options offer flexibility. With proper preparation, your model can serve real-time, low-latency predictions at scale.

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Mechanical Turk, a service allowing users to divide tasks for humans to perform, has been found to have nearly half of its workers using AI models to complete tasks intended for humans. This raises concerns about the reliability of human data and highlights the growing issue of AI training on AI-gen.. read more

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AWS will invest $100 million to launch the AWS Generative AI Innovation Center, aimed at helping customers build and launch generative AI products, services, and processes. The center will connect customers with AWS experts in AI and ML, providing guidance and cost-effective generative AI services f.. read more

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Attackers can exploit ChatGPT's tendency for hallucination to spread malicious packages, taking advantage of developers' reliance on the AI model for coding solutions. The issue arises from ChatGPT's recommendations of non-existent or outdated code libraries, allowing attackers to publish their own .. read more

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Lyft had a Machine Learning Platform called LyftLearn, but it lacked support for streaming data in many of its systems. To address this, Lyft initiated the Real-time Machine Learning with Streaming initiative to enable developers to efficiently build and enhance models with streaming data. They iden.. read more
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