Microsoft Technology Licensing, LLC

Justin Daniel Harris

Bradley Moore Abrams

Elbio Renato Torres Abib

Layla El Asri

Hannes Schulz

Shikhar Sharma

Emery Fine

Mahmoud Adada

Rahul Mehrotra

Jeremie Zumer

A computing system is disclosed that includes a processor and memory. The memory stores instructions that, when executed by the processor, cause the processor to perform several acts. The acts include generating a prompt that is to be input to a generative language model. The prompt includes conversational input set forth by a user. The acts further comprise providing the prompt as input to the generative language model, and receiving conversational output from the generative language model, where the generative language model generated the conversational output based upon the prompt. Additionally, the acts comprise streaming the conversational output on one of a SERP or webpage to which the user has navigated from the SERP.

Streaming of chat in SERP

Examples of the present disclosure describe systems and methods relating to conversation state management using frame tracking. In an example, a frame may represent one or more constraints (e.g., parameters, variables, or other information) received from or generated as a result of interactions with a user. Consequently, each frame may represent one or more states of an ongoing conversation. When the user provides new or different information, a new frame may be created to represent the now-current state of the conversation. The previous frame may be retained for later access by what is referred to herein as a 'dialog agent,' which is the portion of the system that can search and use previous state-related information. When an utterance is received, a frame to which the utterance relates may be identified. Thus, the dialog agent may track multiple states simultaneously, thereby enabling conversation features that were not previously possible.

Simultaneous dialogue state management using frame tracking

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