Chatbots, summarizing apps, Siri, Alexa – these are just a few cool Natural Language Processing (NLP) projects which are already adopted at mass scale. Have you ever wondered how they’re managed, continuously improved, and maintained? This is exactly the question that we’re going to answer in this article.
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Developing a robust, scalable, and efficient system can be daunting. However, understanding the key concepts and components can make the process more manageable. In this blog post, we’ll explore essential system design components such as DNS, load balancing, API Gateway, and more, along with a concise cheat sheet that can help developers design systems of varying complexity.
The MERGE command or statement in standard SQL is used to perform incremental load. i.e. load only new set of records into target table. With the help of SQL MERGE statement, you can perform UPDATE and INSERT simultaneously based on the merge condition.
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Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
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LangChain
Stop wrestling with UI libraries, hacking together data sources, and figuring out access controls. Start shipping apps that move your business forward
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All production ML models need monitoring. NLP models are no exception. But, monitoring models that use text data can be quite different from, say, a model built on tabular data.
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Use TypeScript to build, test, and deploy serverless functions driven by events or a schedule to any platform in seconds, with zero infrastructure.
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Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot.
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At AWS re:Invent 2022, we previewed AWS Application Composer, a visual builder for you to compose and configure serverless applications from AWS services backed by deployment-ready infrastructure as code (IaC).
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Visually design and build serverless applications| Serverless Office Hours
