Description:Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models.Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. You’ll take a comprehensive deep dive into the ingredients that make up a language model, explore various techniques for customizing them such as fine-tuning, learn about application paradigms like RAG (retrieval-augmented generation) and agents, and more.Understand how to prepare datasets for training and fine-tuningDevelop an intuition about the Transformer architecture and its variantsAdapt pretrained language models to your own domain and use casesLearn effective techniques for fine-tuning, domain adaptation, and inference optimizationInterface language models with external tools and data and integrate them into an existing software ecosystemWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Designing Large Language Model Applications: A Holistic Approach to LLMs. To get started finding Designing Large Language Model Applications: A Holistic Approach to LLMs, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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PDF, EPUB & Kindle Edition
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1098150465
Designing Large Language Model Applications: A Holistic Approach to LLMs
Description: Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models.Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. You’ll take a comprehensive deep dive into the ingredients that make up a language model, explore various techniques for customizing them such as fine-tuning, learn about application paradigms like RAG (retrieval-augmented generation) and agents, and more.Understand how to prepare datasets for training and fine-tuningDevelop an intuition about the Transformer architecture and its variantsAdapt pretrained language models to your own domain and use casesLearn effective techniques for fine-tuning, domain adaptation, and inference optimizationInterface language models with external tools and data and integrate them into an existing software ecosystemWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Designing Large Language Model Applications: A Holistic Approach to LLMs. To get started finding Designing Large Language Model Applications: A Holistic Approach to LLMs, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.