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Build a Large Language Model (From Scratch)

Nº de artículo: 90174974

Build a Large Language Model (From Scratch)

90% of respondents would recommend this to a friend

Nº de artículo: 90174974

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What Stands Out

Custom Architecture

Design a tailored neural network architecture that suits specific applications and performance needs, ensuring optimal training outcomes.

Comprehensive Training Data

Utilize a diverse dataset for training, improving the model's understanding and performance across various languages and contexts.

Scalable Learning

Implement scalable learning techniques to efficiently increase model size and complexity while managing resources and time effectively.

Detalles de producto

How to implement LLM attention mechanisms and GPT-style transformers. In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.Build a Large Language Model (from Scratch) teaches you how to:Plan and code all the parts of an LLMPrepare a dataset suitable for LLM trainingFine-tune LLMs for text classification and with your own dataUse human feedback to ensure your LLM follows instructionsLoad pretrained weights into an LLMBuild a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.About the technologyPhysicist Richard P. Feynman reportedly said, “I don’t understand anything I can’t build.” Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.About the bookBuild a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself!What's insidePlan and code an LLM comparable to GPT-2Load pretrained weightsConstruct a complete training pipelineFine-tune your LLM for text classificationDevelop LLMs that follow human instructionsAbout the readerReaders need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs.About the authorSebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software.The technical editor on this book was David Caswell.Table of Contents1 Understanding large language models2 Working with text data3 Coding attention mechanisms4 Implementing a GPT model from scratch to generate text5 Pretraining on unlabeled data6 Fine-tuning for classification7 Fine-tuning to follow instructionsA Introduction to PyTorchB References and further readingC Exercise solutionsD Adding bells and whistles to the training loopE Parameter-efficient fine-tuning with LoRA

Publisher	Manning
Publication date	October 29, 2024
Language	English
Print length	368 pages
ISBN-10	1633437167
ISBN-13	978-1633437166
Item Weight	1.35 pounds (610 grams)
Dimensions	7.38 x 0.7 x 9.25 inches (18.7 x 1.8 x 23.5 cm)

Who Should Buy?

AI Enthusiasts
Perfect for those eager to deepen their understanding of AI and machine learning by building models from ground up.
Developers
Essential for programmers looking to expand their skills in natural language processing and model creation techniques.
Researchers
Ideal for academic professionals aiming to conduct experiments and showcase their findings using custom-built language models.

Beginners
Might overwhelm new learners without prior knowledge in AI, as it requires understanding complex concepts and coding.

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Preguntas y respuestas de los clientes

Pregunta: ¿Cómo comprar Build a Large Language Model (From Scratch) en línea desde Ubuy?

Respuesta: Es fácil comprar Build a Large Language Model (From Scratch) en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
Pregunta: ¿Está Build a Large Language Model (From Scratch) disponible para comprar en línea en Panama?

Respuesta: Sí, en Ubuy Panama, este producto está disponible para que lo compre a un precio razonable.. El Build a Large Language Model (From Scratch) no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
Pregunta: ¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Expert Systems Editorial Review

Build a Large Language Model (From Scratch) offers readers a hands-on approach to understanding how modern language models operate. The book excels in breaking down complex concepts like transformers and self-attention into manageable sections, making it accessible, even for those with minimal programming skills. Reviews highlight the clear methodology, practical examples, and the well-structured introduction to PyTorch, which guides readers in experimenting with real code. Beginners may need supplementary material on neural networks, but the book serves as an excellent specialized resource for building LLMs. Those who enjoy challenging content will find it engaging as they navigate through the intricacies of LLM construction.

Customer Reviews & Ratings

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630 valoraciones de los clientes

5 estrella

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3 estrella

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2 estrella

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ventajas

Excellent breakdown of complex LLM concepts
Hands-on examples enhance understanding of coding
Well-structured introduction to PyTorch included
Suitable for both beginners and advanced learners
Encourages deep understanding through practical challenges

Contras

Some may find initial complexity a bit daunting

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Build a Large Language Model (From Scratch)