We look into our Artificial Intelligence crystal ball to come up with some predictions on what we can expect from in conversational AI in the next...
Explore the open source developments that help power raffle.ai's innovative AI solutions for customer service and knowledge sharing.
Learn how raffle.ai have learned from search developments in AI to fine-tune their customer support products.
Document information extraction tasks performed by humans create data consisting of a PDF or document image input, and extracted string outputs.
How do we make our AI customer support tools? What state-of-the-art technology do we use? Our CTO explains all.
You've read about chatbots but aren't sure whether they're right for you — our AI expert discusses when decison tree-based chatbots do and don't work
This paper takes a step towards temporal reasoning in a dynamically changing video in a latent space.
Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning.
Applying a data-driven approach means we use training data instead of defining rules, distinguishing ourselves from traditional chatbots.