Remove Conversational AI Remove Information Remove Natural Language Processing
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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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OpenAI Announces SearchGPT Prototype: An AI-Powered Search Engine Transforming Web Searches with Real-time Information and Enhanced Conversational AI Capabilities

Marktechpost

OpenAI has recently announced the development of SearchGPT , a groundbreaking prototype that revolutionizes how users search for information online. This new AI-driven search feature combines the strengths of OpenAI’s conversational models with real-time web data, promising to deliver fast, accurate, and contextually relevant answers.

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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.

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LLMs for Chatbots and Conversational AI: Building Engaging User Experiences

Chatbots Life

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. Just imagine conversing with a machine that is as intelligent as a human. Here are the biggest impacts of the Large Language Model: 1.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. Agents for Amazon Bedrock automatically stores information using a stateful session to maintain the same conversation.