What methods reduce token overflow errors when a question-answering bot is handling simultaneous queries

Question

Can i know What methods reduce token overflow errors when a question-answering bot is handling simultaneous queries?

Answer 1

You can reduce token overflow errors in a QA bot by implementing response truncation, dynamic batching, context compression, sliding window attention, and token budget management.

Here is the code snippet you can refer to:

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

• Token Truncation: Uses max_length=512 to prevent overflow.
• Sliding Window Attention: Manages overflow by tokenizing within constraints.
• Batch Query Processing: Handles multiple questions efficiently.
• Dynamic Token Budgeting: Allocates token space based on context size.
• Fallback Handling: Prevents empty or erroneous outputs.

Hence, preventing token overflow in a real-time QA bot requires truncation, efficient tokenization, batched query handling, and dynamic response generation to maintain accuracy while processing simultaneous queries.