What methods do you use for evaluating the quality of generated outputs and can you provide any coding examples

0 votes
During development of my model, how can i evaluate the quality of generated outputs?, can you provide any coding example?
Nov 7 in Generative AI by Ashutosh
• 7,050 points

edited Nov 7 by Ashutosh 62 views

1 answer to this question.

0 votes

You can evaluate the quality of generated outputs by following  techniques:

  • BLUE Metric Score[14] : Used for code Generated outputs
  • ROGUE Score : Used to evaluate quality of  text summarizer generated.
Here is the code reference:

Note that you can use  ROUGE Score , perplexity and human aligned metrics like coherence , sentiments or relevance to content.

Hence by following these techniques you can you can evaluate the quality of generated output.

answered Nov 7 by anitha tiwari

Related Questions In Generative AI

0 votes
2 answers
0 votes
1 answer
0 votes
1 answer

What are the best practices for fine-tuning a Transformer model with custom data?

Pre-trained models can be leveraged for fine-tuning ...READ MORE

answered Nov 5 in ChatGPT by Somaya agnihotri

edited Nov 8 by Ashutosh 191 views
0 votes
1 answer

What preprocessing steps are critical for improving GAN-generated images?

Proper training data preparation is critical when ...READ MORE

answered Nov 5 in ChatGPT by anil silori

edited Nov 8 by Ashutosh 124 views
0 votes
1 answer

How do you handle bias in generative AI models during training or inference?

You can address biasness in Generative AI ...READ MORE

answered Nov 5 in Generative AI by ashirwad shrivastav

edited Nov 8 by Ashutosh 163 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