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Natural Language Processing (NLP): Unlocking Inclusivity and Equitable Futures in Capital Infrastructure Planning

Unite.AI

Natural Language Processing (NLP) and Artificial Intelligence (AI) emerge as a powerful tools to revolutionize capital infrastructure planning, foster inclusivity, and drive an equitable future by engaging communities in decision-making.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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Conversation AI: What it is and top use cases

AssemblyAI

Ninety percent of contact centers handle calls faster and more efficiently after implementing a conversation AI tool. And, with recent advances in AI technology, the quality of conversation AI tools is rapidly increasing, making their impact even more significant. What is Conversation AI?

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The Comparison: Perplexity AI vs ChatGPT

Analytics Vidhya

Introduction In artificial intelligence, particularly in natural language processing, two terms often come up: Perplexity and ChatGPT. While ChatGPT, developed by OpenAI, stands as a titan in conversational AI, “Perplexity” pertains more to a performance metric used in evaluating language models.

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How conversational AI can transform IT support

IBM Journey to AI blog

That was, until the introduction of AI chatbots for business emerged on the IT landscape. How Watson Assistant can help IBM Watson Assistant is a holistic SaaS solution for creating AI-enabled conversational experiences.

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A Quick Recap of Natural Language Processing

Mlearning.ai

I worked on an early conversational AI called Marcel in 2018 when I was at Microsoft. This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks.

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Origins of Generative AI and Natural Language Processing with ChatGPT

ODSC - Open Data Science

Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering. GloVe uses a different approach than word2vec and learns word vectors by training on co-occurrence matrices.