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Building Small Language Models from Scratch
Paperback
Publisher: Independently Published
Published: Aug 24 2025
Pages: 236
Weight: 0.71
Height: 0.50 Width: 6.00 Depth: 9.00
Language: English
3. Focus on PyTorch: Master the de-facto industry and research standard for deep learning to build flexible and powerful models.
4. NEP 2020 & AICTE Aligned: The curriculum is structured to promote skill-based, experiential learning with a focus on real-world problem-solving, perfectly aligning with modern educational frameworks.
5. Beginner to Advanced: The book starts with the basics and progressively builds to advanced topics, making it suitable for learners at all levels.
6. Capstone Project: A dedicated final chapter guides you through building a complete, real-world application-a domain-specific Question-Answering Bot-including full, commented code and deployment considerations.
7. Ethical AI Focus: A dedicated chapter on the ethical implications, biases, and societal impact of language models, fostering responsible innovation.
8. Clarity and Simplicity: Complex topics like the Transformer architecture and self-attention are broken down into simple, easy-to-understand explanations with clear diagrams and analogies. Who is this book for? 1. B.Tech/M.Tech Students: Computer Science, AI, and Data Science students looking for a textbook that bridges the gap between theory and practical application.
2. Aspiring AI/ML Engineers: Individuals who want to build a strong, foundational portfolio project and gain a deep understanding of the models they will work with.
3. Software Developers: Programmers who want to transition into AI/NLP and need a structured, hands-on learning path.
4. Researchers and Academics: Individuals who need a practical guide to quickly prototype and experiment with novel language model architectures.
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