Cohere
Build natural language understanding and generation into your product with a few lines of code. The Cohere API provides access to models that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use. Use the Cohere API to write human-like text by completing a prompt or filling in blanks. You can write copy, generate code, summarize text, and more. Compute the likelihood of text and retrieve representations from the model. Use the likelihood API to filter text based on chosen categories or selected criteria. With representations, you can train your own downstream models on a wide variety of domain-specific natural language tasks. The Cohere API can compute the similarity between pieces of text, and make categorical predictions by comparing the likelihood of different text options. The model has multiple lenses through which to view ideas, so that it can recognize abstract similarities between concepts as distinct as DNA and computers.
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Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced 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, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). With Amazon Lex, you can build bots to increase contact center productivity, automate simple tasks, and drive operational efficiencies across the enterprise. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure.
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Watson Natural Language Understanding
Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.
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HumanFirst
HumanFirst provides radically efficient infrastructure and workflows to explore, curate and scale your AI training data. We productize the capabilities to scale NLU & NLP. HumanFirst accelerates conversational AI. Real voice-of-the-customer data, always in the loop. HumanFirst Studio makes working with voice and text data to train and maintain natural language understanding NLU models a breeze. Replace costly, and ad-hoc data ingestion and labeling processes with a seamless experience that allows you to build and improve the performance of your AI with real data, immediately. Import your Search and Help Center requests, emails, live chat or voice call logs to continuously train AI that understands your customers. Discover intents and improve their accuracy. Guessing what intents you need to train, and coming up with training phrases manually is painful - and often leads to low coverage and accuracy of intents.
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