Generative AI

Delight Your Customers Using Chatbots in Restaurant

Restaurant Chatbot for Facebook Messenger & Website BotStar Restaurant chatbot template helps customers to access menu, make orders and book tables instantly – anytime, anyplace. Restaurants also do not need to have an exclusive personnel for customers. Across multiple industries, capturing and retaining customer interest and business through AI powered technologies has now become a […]

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AI Doctors Are Going to Make Healthcare Better and More Caring

Users can also take advantage of personalized meditation recommendations as well as tools for tracking mood and emotional health. The more users interact with the chatbot, the more it refines its personalized approach to mental health. Booking appointments is one of the most repetitive tasks for a healthcare business. In addition, a larger investment in

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AI Image Generation With GPT and Diffusion Models

Introducing Cloudinary’s Generative Fill: Expanding Image Creativity With AI With DALL-E 2, you can generate a wide range of images, including photorealistic images, stylized illustrations, and even images that are similar to existing images but with some variations. This makes it a powerful tool for tasks such as art, design, and animation. It can generate

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E-Commerce Chatbots: 9 Examples That Increase Sales and Revenue Conversational Commerce Strategy Jumper ai Blog

eCommerce Chatbots: The Complete Guide 2023 Chatbots take the powerful tool of product recommendations and add an extra layer of interaction. Netomi is an AI chatbot for eCommerce with a powerful conversational AI engine. There’s almost nothing with respect to building an AI chatbot for eCommerce that it doesn’t cover. Netomi’s AI chatbot uses advanced

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What is Natural Language Processing? Knowledge

CONVERSATIONAL AI: AN OVERVIEW OF TECHNIQUES, APPLICATIONS & FUTURE SCOPE One example would be filtering invoices with a certain date or invoice number. Or perhaps automatically analysing email attachments https://www.metadialog.com/ or filtering data by subject line. This can also be useful for making corrections to the extracted information. Forrester also found that two-thirds of consumers

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