{
"item_title" : "Mastering Natural Language Processing with Transformers",
"item_author" : [" Rupesh Kumar Tipu "],
"item_description" : "This comprehensive chapter on ethical considerations in NLP with Transformers explores critical issues such as bias and fairness, privacy concerns, and responsible AI practices. It delves into theoretical concepts like disparate impact metrics for measuring bias, privacy-preserving techniques in NLP models, and practical implementations using the transformers library. By emphasizing transparency, accountability, and ethical guidelines, the chapter aims to foster responsible AI development and deployment in NLP.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/780/814/6207808142_b.jpg",
"price_data" : {
"retail_price" : "48.00", "online_price" : "48.00", "our_price" : "48.00", "club_price" : "48.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Mastering Natural Language Processing with Transformers
Overview
This comprehensive chapter on ethical considerations in NLP with Transformers explores critical issues such as bias and fairness, privacy concerns, and responsible AI practices. It delves into theoretical concepts like disparate impact metrics for measuring bias, privacy-preserving techniques in NLP models, and practical implementations using the transformers library. By emphasizing transparency, accountability, and ethical guidelines, the chapter aims to foster responsible AI development and deployment in NLP.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9786207808144
- ISBN-10: 6207808142
- Publisher: LAP Lambert Academic Publishing
- Publish Date: June 2024
- Dimensions: 9 x 6 x 0.13 inches
- Shipping Weight: 0.21 pounds
- Page Count: 56
Related Categories
