LLM Systems Engineering: Training and Building Large Language Models – Engineering AI Models Through Fine-Tuning, Continued Pretraining, and From-Scratch Development (AI Engineering)
by Rob Mckinsey
Explore the engineering of large language models through fine-tuning, continued pretraining, and from-scratch development. This guide presents a broad perspective on the methods used to train and build AI models, making it a useful resource for readers interested in the systems behind modern language model development.
About This Book
LLM Systems Engineering introduces the engineering of large language models through the lens of AI model development.
The book covers fine-tuning, continued pretraining, and building models from scratch, providing a broad view of major development approaches.
It is suited to readers seeking an engineering-focused understanding of how language models are trained and built.
With its emphasis on systems engineering, the book connects model development methods with the practical work of creating large language models.
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