What techniques do you use for prompt engineering in generative AI applications and how do you test their effectiveness

0 votes
How can i use prompt engineering in Generative AI?. Can you suggest 4 methods to do that also how can we know that the 4 methods which we are using is effective?
Nov 7, 2024 in Generative AI by Ashutosh
• 14,020 points
75 views

No answer to this question. Be the first to respond.

Your answer

Your name to display (optional):
Privacy: Your email address will only be used for sending these notifications.

Related Questions In Generative AI

0 votes
1 answer
0 votes
1 answer
0 votes
1 answer

How do you use TensorFlow’s tf.keras.preprocessing for tokenizing text in generative AI?

You can use TensorFlow's tf.keras.preprocessing.text.Tokenizer to tokenize ...READ MORE

answered Jan 3 in Generative AI by Ashutosh
• 14,020 points
47 views
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, 2024 in ChatGPT by Somaya agnihotri

edited Nov 8, 2024 by Ashutosh 264 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, 2024 in ChatGPT by anil silori

edited Nov 8, 2024 by Ashutosh 172 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, 2024 in Generative AI by ashirwad shrivastav

edited Nov 8, 2024 by Ashutosh 233 views
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