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000001517285
20260406191936
260406s2025 nyua 001 0 eng d
▼a 9781633437166:
▼c \106480
▼a 247019
▼c 247019
▼d 247019
▼a 004.73
▼2 6
▼a 004.73
▼b R223b
▼a Raschka, Sebastian,
▼e author.
▼a Build a large language model (from scratch) /
▼d Sebastian Raschka.
▼a [First edition].
▼a Shelter Island, NY :
▼b Manning Publications,
▼c 2025
▼a xx, 343 pages :
▼b illustrations ;
▼c 24 cm
▼a text
▼b txt
▼2 rdacontent
▼a unmediated
▼b n
▼2 rdamedia
▼a volume
▼b nc
▼2 rdacarrier
▼a From scratch
▼a Includes index.
▼a Understanding large language models -- Working with text data -- Coding attention mechanisms -- Implementing a GPT model from scratch to generate text -- Pretraining on unlabeled data -- Fine-tuning for classification -- Fine-tuning to follow instructions -- Introduction to PyTorch -- References and further reading -- Exercise solutions -- Adding bells and whistles to the training loop -- Parameter-efficient fine-tuning with LoRA.
▼a Build 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!
▼a Artificial intelligence.
▼a Natural language processing (Computer science)
▼a Intelligence artificielle.
▼a Traitement automatique des langues naturelles.
▼a artificial intelligence.
▼2 aat
▼t 밑바닥부터 만들면서 배우는 LLM,
▼z 9791140715848
▼a From scratch (Manning Publications)
▼b \106480
▼b 이현승
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781633437166: |
| 분류기호 : | 004.73 |
| 개인저자 : | Raschka, Sebastian, author. |
| 서명/저자사항 : | Build a large language model (from scratch) / Sebastian Raschka. |
| 판사항 : | [First edition]. |
| 발행사항 : | Shelter Island, NY : Manning Publications, 2025 |
| 형태사항 : | xx, 343 pages : illustrations ; 24 cm |
| 총서사항 : | From scratch |
| 일반주기 : | Includes index. |
| 내용주기 : | Understanding large language models -- Working with text data -- Coding attention mechanisms -- Implementing a GPT model from scratch to generate text -- Pretraining on unlabeled data -- Fine-tuning for classification -- Fine-tuning to follow instructions -- Introduction to PyTorch -- References and further reading -- Exercise solutions -- Adding bells and whistles to the training loop -- Parameter-efficient fine-tuning with LoRA. |
| 요약 : | Build 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! |
| 일반주제명 : | Artificial intelligence. -- |
| 일반주제명 : | Natural language processing (Computer science) -- |
| 일반주제명 : | Intelligence artificielle. -- |
| 일반주제명 : | Traitement automatique des langues naturelles. -- |
| 일반주제명 : | artificial intelligence. -- |
| 번역저록 : | 밑바닥부터 만들면서 배우는 LLM, 9791140715848 |
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