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AWS Lex

AWS Lex is a service for building conversational interfaces into applications using voice and text. It provides the deep learning functionalities of automatic speech recognition (ASR) for converting speech to text and natural language understanding (NLU) to recognize the intent of the text, enabling developers to create sophisticated, natural language, conversational bots.

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About AWS Lex

AWS Lex was launched by Amazon Web Services in 2016. It was developed to leverage the same deep learning technologies that powered Amazon Alexa, enabling developers to integrate advanced conversational interfaces into their applications. The goal was to simplify the creation of chatbots and voice assistants by providing a scalable and easy-to-use service.

Strengths of AWS Lex include its seamless integration with other AWS services, robust natural language understanding, and scalability. Weaknesses involve potential complexity for beginners and dependency on AWS ecosystem. Competitors include Google Dialogflow, Microsoft Azure Bot Service, and IBM Watson Assistant.

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How to hire a AWS Lex expert

An AWS Lex expert must have skills in natural language processing, proficiency in AWS services like Lambda and CloudWatch, experience with JSON for defining bot configurations, knowledge of RESTful APIs for integration, and familiarity with machine learning concepts.

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