Domain-Specific Small Language Models (MEAP) by Guglielmo Iozzia(.PDF)
File Size: 37.0 MB
Domain Specific Small Language Models (MEAP v8) by Guglielmo Iozzia
Requirements: .ePUB, .PDF reader, 37.0 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. 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. This one focuses on LLMs specialized in Python code generation and other programming assistance tasks. While majority of the available Open Source models falling into this category support multiple programming languages, here we are focusing on Python as target language, because it is the one which readers of this book are for sure familiar with and so everyone is in a good position when validating the quality of the results generated by the models under evaluation. For Machine Learning engineers familiar with Python.
Genre: Non-Fiction > Tech & Devices
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