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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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RAGate: Adaptive RAG for Conversational AI

Towards AI

Last Updated on November 10, 2024 by Editorial Team Author(s): Rupali Patil Originally published on Towards AI. Building Conversational AI systems is hard!!! The very popular RAG (Retrieval-Augmented Generation) has revolutionized conversational AI by seamlessly integrating external knowledge with LLM’s internal knowledge.

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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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Arena Learning: Transforming Post-Training of Large Language Models with AI-Powered Simulated Battles for Enhanced Efficiency and Performance in Natural Language Processing

Marktechpost

Large language models (LLMs) have shown exceptional capabilities in understanding and generating human language, making substantial contributions to applications such as conversational AI. Chatbots powered by LLMs can engage in naturalistic dialogues, providing a wide range of services.

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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.