What strategies have you found effective for optimizing the inference speed of generative models including any code snippets

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How can i speed up inference with generative models? What strategies work best for optimizing this,and could you share any code snippets to help?
Oct 24 in Generative AI by Ashutosh
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Techniques and Code Snippets to Accelerate Generative Model Inference Time

Accelerating Inference Time

Model Quantization:

  • Reduce model size by converting weights from float32 to int8.

Batch Processing:

  • Process multiple inputs at once to utilize computational resources effectively.

Use Efficient Libraries:

  • Leverage libraries like ONNX Runtime for optimized execution.

Reduce Input Size:

  • Truncate inputs to minimize processing time.

Caching Responses:

  • Cache frequent queries to avoid recomputation.

answered Oct 29 by Anila minakshi

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