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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. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group.

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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. Conclusion Conversational AI assistants are transformative tools for streamlining operations and enhancing user experiences.

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Josh Feast, CEO and Co-Founder of Cogito – Interview Series

Unite.AI

Can you discuss how Cogito uses AI to analyze behavioral cues and provide in-the-moment feedback during conversations? Cogito uses a powerful combination of Emotion and Conversation AI to reveal new insights from all conversations, extracting both what was said and how the customers received the message.

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The most valuable AI use cases for business

IBM Journey to AI blog

Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately.

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Tsinghua University Researchers Released the GLM-Edge Series: A Family of AI Models Ranging from 1.5B to 5B Parameters Designed Specifically for Edge Devices

Marktechpost

This series includes models that cater to both conversational AI and vision applications, designed to address the limitations of resource-constrained devices. The GLM-Edge series has two primary focus areas: conversational AI and visual tasks. Don’t Forget to join our 55k+ ML SubReddit.

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Creating an AI-Powered Tutor Using Vector Database and Groq for Retrieval-Augmented Generation (RAG): Step by Step Guide

Marktechpost

nltk (Natural Language Toolkit) is a well-known NLP library for text preprocessing, tokenization, and analysis. torch is a deep learning framework commonly used for machine learning tasks, including AI-based text generation. groq is an AI service that generates human-like responses. Dont Forget to join our 70k+ ML SubReddit.

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