International Business Machines Corporation

Amit Kumar Raha

Aaron K Baughman

Kavitha Hassan Yogaraj

Amitava Chakraborty

An embodiment senses a sequence, responsive to the sensed sequence, segments the sensed sequence into a prompt and text. The embodiment generates an attention embedding representative of the text and computes an attention weight based on the attention embedding. The embodiment generates a prompt embedding representative of the prompt. The embodiment computes a relationship between the prompt embedding and the attention weight comprising correlating the attention embedding and the attention weight based on a beam search; bin packing the prompt embedding where a bin is defined by the attention embedding; matching the prompt embedding to the bin based on a Minkowski distance metric; where the bin packing causes the computing of the relationship between the prompt and the text represented by the attention weight.

Prompt discovery with attention refinement

Techniques are provided for controlling virtual holiday experiences. In one embodiment, the techniques involve receiving a virtual itinerary, wherein the virtual itinerary includes a virtual holiday destination and a user preference, retrieving media of the virtual holiday destination based on the virtual itinerary, wherein the media is retrieved from a social media network or a public media database, generating a virtual environment based on the media, and generating a virtual representative of a user in the virtual environment.

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Barrackpore, India

Amit Kumar Raha