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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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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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A Guide to Computational Linguistics and Conversational AI

Towards AI

Last Updated on March 30, 2023 by Editorial Team Author(s): Suvrat Arora Originally published on Towards AI. if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. What is Conversational AI? Hey Siri, How’s the weather today? —

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Top 10 Large Language Models on Hugging Face

Analytics Vidhya

Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.

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Redefining Conversational AI with Large Language Models

Topbots

Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption.

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How to Improve the Reliability of ChatGPT: Techniques and Tips

Analytics Vidhya

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

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Efficiency Meets Personalization: How AI Agents Improve Customer Service

NVIDIA

AI agents can be used as virtual assistants, which use artificial intelligence and natural language processing to handle high volumes of customer service requests. By automating routine tasks, AI agents ease the workload on human agents, allowing them to focus on tasks requiring a more personal touch.