Domain-Specific Small Language Models (MEAP) by Guglielmo Iozzia(.PDF)

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File Size: 25.0 MB

Domain-Specific Small Language Models (MEAP V7) by Guglielmo Iozzia
Requirements: .ePUB, .PDF reader, 25.0 MB
Overview: Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks. When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. Domain-Specific Small Language Models teaches you to build generative AI models optimized for specific fields. Domain-Specific Small Language Models teaches you how to create language models that deliver the power of LLMs for specific areas of knowledge. To get the most benefit from this book, you’ll want to have some established skills in Python programming, with experience in PyTorch and knowledge about training/fine tuning Transformers-based language models, and willing to learn more about higher level and more user friendly API, optimizing such models, to make them ready for serving and inference on different hardware, also when on a tight infrastructure budget, or when the destination deployment system is a device, such as a laptop or a smartphone. For Machine Learning engineers familiar with Python.
Genre: Non-Fiction > Tech & Devices

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