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Integrate natural language processing and generative AI with relational databases

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In this post, we present an approach to using natural language processing (NLP) to query an Amazon Aurora PostgreSQL-Compatible Edition database. The solution presented in this post assumes that an organization has an Aurora PostgreSQL database.

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Natural language processing (NLP)

Dataconomy

Natural language processing (NLP) is a fascinating field at the intersection of computer science and linguistics, enabling machines to interpret and engage with human language. What is natural language processing (NLP)? Streamlining customer support using AI-driven chatbots.

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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is the branch of computer science and, more specifically, the domain of artificial intelligence (AI) that focuses on providing computers the ability to understand written and spoken language in a way similar to that of humans.

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What's the Difference Between Natural Language Processing and Machine Learning?

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These two terms are at the core of the generative AI revolution, but what do they mean, and how do they differ? Key Takeaways Machine learning and …

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning Blog

However, as the reach of live streams expands globally, language barriers and accessibility challenges have emerged, limiting the ability of viewers to fully comprehend and participate in these immersive experiences. To learn more about how to build and scale generative AI applications, refer to Transform your business with generative AI.

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AI after work: UW’s Allen School to offer new graduate certificate in modern AI methods

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Allen School of Computer Science & Engineering at the University of Washington. Allen School of Computer Science & Engineering, where a new program will cater toward working professionals and others seeking more AI experience. The Paul G.

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Say anything: The evolution of multilingual models for natural language processing

Dataconomy

Considering that some languages, notably English, seem to dominate digitally, there is actually a tremendous need for tools that can work across different languages and carry out diverse tasks. Over the past few years, numerous tools have emerged based on multilingual models for natural language processing (NLP).