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Chatbot Quality Control: Why Data Hygiene Is a Necessity


The rush is on to deploy chatbots. Chatbots rely on data to power their outputs; however, companies that prioritize data quantity over quality risk creating systems that produce unreliable, inappropriate, and simply incorrect responses. Success in this field depends on rigorous data standards and ongoing quality control rather than simply accumulating more training data. When […]

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Author: Todd Fisher

Conversational AI’s Quantum Leap: How RAG Is Enabling Smarter Chatbots


Chatbots were among the first apps that testified to the mainstream adoption of AI and inspired further innovations in the conversational space. Now, it’s time to move on from just responding bots to emphatic companions that further reduce the dependency on human intelligence.  RAG-enabled chatbots are proactive in responding to and addressing queries in real […]

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Author: Yash Mehta

AI Chatbots Revolutionize Depression Management and Mental Health Support


In this digital era, the emergence of AI has opened up avenues for a remarkable companion in combatting mental health issues such as depression. Ready yourself as we investigate how AI chatbots are rewriting the rules of mental health care and providing new hope and advanced strategies for managing depression. One of the most advantageous […]

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Author: Mohammed Rizvi

Companies Must Have Guardrails in Place When Incorporating Generative AI


At the time of reading this, you’ve likely heard of ChatGPT and/or generative AI and its versatile conversational capabilities. From asking it to draft cohesive blog posts, to generating working computer code, all the way to solving your homework and engaging in discussing world events (as far as they happened before September 2021), it seems […]

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Author: Andrei Papancea

What Will the Future of the AI and Machine Learning Industry Look Like?


AI applications catering to the mass public are moving towards larger-scale use for enterprises, as big tech companies try to get into this new technology. As the use of AI proliferates in the future, tremendous amounts of computing power from cloud service providers are needed to operate these AI applications and unleash more of their […]

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Author: Cory Hymel

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