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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

Unlock the Power of Structured Data Through Conversational AI


Data is often heralded as “the new oil” because of its ability to be a competitive advantage. But how can organizations grapple with the deluge of data being generated at breakneck speeds, much less turn it all into a competitive advantage? One solution lies in enabling conversational interactions with structured data. Imagine leveraging AI tools, similar […]

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Author: Jason Guarracino

Domain-Specific AI Models Render Conversational AI More Effective


According to Gartner, 80% of executives believe organizations can apply AI to any business decision. However, an AI-based decision is only as effective as the training data on which the AI model is built. The most effective, advanced solutions focus on domain-specific AI and ensure training data used in AI models is highly accurate and reliable. […]

The post Domain-Specific AI Models Render Conversational AI More Effective appeared first on DATAVERSITY.


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Author: Michael Armstrong

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

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