close menu
Bookswagon-24x7 online bookstore
close menu
My Account
7%
Transformers NLP: Build, Fine-Tune, Apply LLMs

Transformers NLP: Build, Fine-Tune, Apply LLMs

          
5
4
3
2
1

International Edition


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Quantity:
Add to Wishlist

About the Book

Unlock the next frontier of AI: Master Transformers and Large Language Models to build, fine-tune, and deploy cutting-edge NLP solutions. Are you ready to move beyond foundational concepts and dive deep into the practical application of the most transformative technologies in Natural Language Processing? "Transformers & Large Language Models: A Comprehensive Guide" by Jude Max is your essential blueprint for mastering the architectures, techniques, and real-world implementation of LLMs. Inside this definitive guide, you will learn to: Deconstruct the Transformer Core: Gain a profound understanding of the foundational self-attention mechanism, Multi-Head Attention, and Positional Encoding that power all modern NLP models. Build & Fine-Tune Encoder-Only Models: Practical mastery of BERT, RoBERTa, and DistilBERT for high-accuracy Text Classification and precise Named Entity Recognition (NER). Generate Dynamic Text with Decoder-Only Models: Explore the intricacies of GPT architectures, causal masking, and advanced Text Generation strategies for creative and coherent outputs. Tackle Complex Seq2Seq Tasks: Apply T5 and BART to excel in demanding applications like Summarization and Machine Translation. Harness LLM Emergent Capabilities: Leverage Large Language Models for sophisticated zero-shot, few-shot, and Chain-of-Thought reasoning. Implement Robust Retrieval-Augmented Generation (RAG): Ground LLM responses in factual, up-to-date external knowledge, overcoming hallucinations and enhancing trustworthiness. Optimize & Deploy for Production: Make your Transformers efficient with quantization and distillation, and learn robust strategies for production deployment on cloud platforms (AWS, Azure, GCP). Develop Responsible AI Systems: Navigate the crucial ethical landscape, understand bias detection and mitigation, ensure fairness, and explore interpretability in your LLM applications. This book is meticulously crafted for developers, data scientists, and AI enthusiasts eager to apply cutting-edge Deep Learning and Generative AI techniques to real-world challenges. Transform your theoretical knowledge into tangible, deployable skills with hands-on projects and expert insights.


Best Seller

| | See All

Product Details
  • ISBN-13: 9798294541170
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 192
  • Spine Width: 10 mm
  • Weight: 458 gr
  • ISBN-10: 8294541176
  • Publisher Date: 28 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Build, Fine-Tune, Apply LLMs
  • Width: 216 mm


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Be The First to Review
Transformers NLP: Build, Fine-Tune, Apply LLMs
Independently Published -
Transformers NLP: Build, Fine-Tune, Apply LLMs
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Transformers NLP: Build, Fine-Tune, Apply LLMs

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    | | See All


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA