Rearchitecting LLMs (MEAP 5) by Pere Martra (.ePUB)+
File Size: 13.4 MB
Rearchitecting LLMs: Structural techniques for efficient models (MEAP 5) by Pere Martra
Requirements: .ePUB, .PDF reader, 13.4 MB
Overview: By default, general purpose LLMs are not optimized for specific domains and business goals. Using techniques like specialized fine-tuning, pruning unnecessary neural components, and knowledge distillation, you can rearchitect your models to cost less, run faster, and deliver more accurate results. Rearchitecting LLMs: Structural techniques for efficient models turns research from the latest AI papers into production-ready practices for domain-specific model optimization. As you work through this practical book, you’ll perform hands-on surgery on popular open-source models like Llama-3, Gemma, and Qwen to create cost-effective local small language models (SLMs). Along the way, you’ll learn how to combine behavioral analysis with structural modifications, identifying and removing parts that don’t contribute to your model’s goals, and even use “fair pruning” to reduce model bias at the neuron level. For practicing AI, ML, and data engineers who know Python.
Genre: Non-Fiction > Tech & Devices
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