Kniha Build a Large Language Model (from Scratch) Raschka

Build a Large Language Model (from Scratch)

Autor: Raschka, Sebastian
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Manning Publications
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
53.66
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2024
Stránok
400
EAN
9781633437166
ISBN
1633437167
Enbook ID
46056803
Hmotnosť
476

Kompletný popis

Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

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 LLM
  • Prepare a dataset suitable for LLM training
  • Fine-tune LLMs for text classification and with your own data
  • Use human feedback to ensure your LLM follows instructions
  • Load pretrained weights into an LLM

Build 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 technology 
Physicist 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.

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