How to improve accuracy for a chatbot that fails to provide relevant answers under stress testing

Question

Can you tell me with the help of proper code that How to improve accuracy for a chatbot that fails to provide relevant answers under stress testing?

Answer 1

To improve chatbot accuracy under stress testing by optimizing load balancing, implementing fallback handling, refining intent recognition, caching frequent queries, and dynamically adjusting response generation parameters.

Here is the code snippet you can refer to:

​In the above code we are using the following key points:

• Asynchronous Query Handling: Uses a queue to manage high-load scenarios.
• Multi-Threaded Processing: Prevents slowdowns with concurrent responses.
• Response Length Control (max_tokens): Ensures optimal performance.
• Balanced Creativity (temperature=0.6): Maintains accuracy under stress.
• Fallback Handling: Prevents breakdowns by returning meaningful responses.

Hence, improving chatbot accuracy under stress testing requires efficient request queuing, multi-threaded response generation, optimized model parameters, and robust fallback mechanisms to ensure reliability and responsiveness.