The "Real-time Streaming of Responses" feature in StackSpot AI aims to enhance the user experience by streaming responses from the Language Model (LLM) in real-time. This feature is designed to replace the existing "thinking" visual indicator with a dynamic display of responses as they are formulated. The key objective is to provide users with immediate feedback, thereby reducing the perceived wait time for responses.
Intended Outcomes
Upon successful implementation of this feature, users will experience a more interactive and engaging interface where responses from the LLM are displayed in real time. This enhancement is expected to significantly reduce the perceived response time, making the interaction with StackSpot AI more efficient and user-friendly. The user interface will be adapted to support this feature, ensuring clarity, responsiveness, and aesthetic consistency. Continuous performance monitoring will be crucial to maintain smooth operation and address any issues promptly, thereby ensuring a consistently high-quality user experience.
Summary
The "Real-time Streaming of Responses" feature in StackSpot AI aims to enhance the user experience by streaming responses from the Language Model (LLM) in real-time. This feature is designed to replace the existing "thinking" visual indicator with a dynamic display of responses as they are formulated. The key objective is to provide users with immediate feedback, thereby reducing the perceived wait time for responses.
Intended Outcomes
Upon successful implementation of this feature, users will experience a more interactive and engaging interface where responses from the LLM are displayed in real time. This enhancement is expected to significantly reduce the perceived response time, making the interaction with StackSpot AI more efficient and user-friendly. The user interface will be adapted to support this feature, ensuring clarity, responsiveness, and aesthetic consistency. Continuous performance monitoring will be crucial to maintain smooth operation and address any issues promptly, thereby ensuring a consistently high-quality user experience.