Abstract: In one embodiment, a method is disclosed comprising: monitoring, by a device and during a video conferencing session in a video conferencing area, audio quality of audio collected from a subject participating in the video conferencing session; detecting, by the device and based on the audio quality, an audio quality issue for the audio collected from the subject; generating, by the device, an orientation instruction predicted to mitigate the audio quality issue based on an audio quality visualization map generated from historical audio quality data in the video conferencing area; and providing, by the device and during the video conferencing session, the orientation instruction to the subject.

Abstract: Provided herein are techniques to facilitate minimizing context for LLM function calling operations. In one example, a method may include obtaining, by an interface system, a user conversation input; providing, to an LLM, for each of one or more interactions between the interface system and the LLM: a description of the interface system; the user conversation input; a list of function groups that describes types of functions that the interface system is capable of performing; and a list of private functions that are callable by the LLM, based on the user conversation input, to receive function context from the interface system or to cause function operations to be performed by the interface system; and providing one or more user conversation outputs based on at least one of the one or more interactions by the interface system with the LLM.

Abstract: In one embodiment, a method is disclosed comprising: monitoring, by a device and during a video conferencing session in a video conferencing area, audio quality of audio collected from a subject participating in the video conferencing session; detecting, by the device and based on the audio quality, an audio quality issue for the audio collected from the subject; generating, by the device, an orientation instruction predicted to mitigate the audio quality issue based on an audio quality visualization map generated from historical audio quality data in the video conferencing area; and providing, by the device and during the video conferencing session, the orientation instruction to the subject.