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

0 votes
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
• 4,690 points
53 views

1 answer to this question.

0 votes

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

Related Questions In Generative AI

0 votes
1 answer
0 votes
1 answer

What impact does prompt phrasing have on model bias and output fairness?

Though small variations in the wording of ...READ MORE

answered Oct 29 in Generative AI by agatha harness

edited Nov 8 by Ashutosh 53 views
0 votes
0 answers

How can I reduce latency when using GPT models in real-time applications?

while creating a chatbot i was facing ...READ MORE

Oct 24 in Generative AI by Ashutosh
• 4,690 points
52 views
0 votes
1 answer
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP