Icecaps provides an array of capabilities from recent conversation modeling literature. Several of these tools were driven by recent work done here at Microsoft Research, including personalization embeddings, maximum mutual information–based decoding, knowledge grounding, and an approach for enforcing more structure on shared feature representations to encourage more diverse and relevant responses. Our library leverages TensorFlow in a modular framework designed to make it easy for users to construct sophisticated training configurations using multi-task learning. In the coming months, we’ll equip Icecaps with pre-trained conversational models that researchers and developers can either use directly out of the box or quickly adapt to new scenarios by bootstrapping their own systems. Read More

#big7, #robotics