AI vs Machine Learning vs. Deep Learning vs. Neural Networks: Whats the difference?

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The Difference Between Artificial Intelligence, Machine Learning and Deep Learning It lets the machines learn independently by ingesting vast amounts of data and detecting patterns. It is arguable that our advancements in big data and the vast data we have collected enabled machine learning in the first place. Deep more advanced form of Machine Learning, Conversemos

Benefits and Challenges of Natural Language Processing Data Science UA

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Major Challenges of Natural Language Processing NLP However, this objective is likely to turn out too sample-inefficient. A more useful direction seems to be multi-document summarization and multi-document question answering. Cosine similarity is one of the methods used to find the correct word when a spelling mistake has been detected. Cosine similarity is calculated using Conversemos

How Does Generative AI Work: A Deep Dive into Generative AI Models

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Explainer: A deep dive into how generative AI works Significant computational power is often required, leading to increased energy consumption and, consequently, a larger carbon footprint. You might wonder why there’s a surge in interest around generative AI at this moment in time. The answer lies in its transformative power across various industries and applications. Conversemos

16 Best Real Estate Chatbots of 2023

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Chatbot for Real Estate Agents Applications, Benefits and Bot Template With chatbot automation for the real estate industry, agents can streamline their sales and marketing efforts and enhance their overall customer service. Contact us today to learn more about how our chatbot solutions can help you revolutionize your real estate business. Real estate chatbots bring a Conversemos

5 reasons NLP for chatbots improves performance

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Ways Tomorrows AI Will Differ From Todays Chatbots Chatbots sometimes struggle to maintain context across multiple user interactions. Understanding the context of a conversation is crucial for providing accurate and relevant responses. However, chatbots may lose context between user turns or fail to retain important information from previous interactions. This can lead to misinterpretations, repetitive Conversemos