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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. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

The New York Times lawsuit argues such outputs constitute infringement, which could have major implications for generative AI development. Overall, evidence indicates plagiarism is an inherent issue in large neural network models that requires vigilance and safeguards. However, these tools have limitations.

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ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new…

Chatbots Life

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new technologies. On November 30, 2022, OpenAI , a San Francisco-based AI research and deployment firm, introduced ChatGPT as a research preview. How GPT-3 technology can help Conversational AI platforms?

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Google’s Advanced AI Models: Gemini, PaLM, and Bard

Marktechpost

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology.

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Artem Rodichev CEO & Founder of Ex-human – Interview Series

Unite.AI

You spent several years as Head of AI at Replika, building one of the most popular conversational AIs. During my time at Replika, I had the opportunity to help shape a conversational AI that resonated with millions of users, which gave me deep insight into how people connect with technology on an emotional level.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Imagine training a generative AI model on a dataset of only romance novels.

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Amr Nour-Eldin, Vice President of Technology at LXT – Interview Series

Unite.AI

I got the chance to apply those techniques to Conversational AI products across multiple domains. Another key takeaway from that experience is the crucial role that data plays, through quantity and quality, as a key driver of AI model capabilities and performance.