Integrating LangChain with Amazon SageMaker: A Step-by-Step Guide to Building, Training, and Deploying Large Language Models by Mason Leblanc
English | November 5, 2023 | ISBN: N/A | ASIN: B0CLKV74DT | 63 pages | EPUB | 0.16 Mb
English | November 5, 2023 | ISBN: N/A | ASIN: B0CLKV74DT | 63 pages | EPUB | 0.16 Mb
Integrating LangChain with Amazon SageMaker: A Step-by-Step Guide to Building, Training, and Deploying Large Language Models is a comprehensive guide for data scientists and ML engineers who want to build and deploy state-of-the-art LLMs using LangChain and Amazon SageMaker.This book will teach you how to:
Get started with LangChain and Amazon SageMaker
Build and train LLMs for a variety of tasks, including text generation, translation, and question answering
Deploy your LLMs to production using Amazon SageMaker's real-time inference endpoints
This book will save you months of time and effort by providing you with a step-by-step guide to building and deploying LLMs using LangChain and Amazon SageMaker.
About the technology
LangChain is a powerful framework for building and deploying LLM-powered applications. It provides a high-level API that makes it easy to interact with LLMs, and it integrates seamlessly with Amazon SageMaker. Amazon SageMaker is a managed machine learning service that makes it easy to build, train, and deploy ML models in the cloud. It provides a wide range of pre-trained models, as well as the tools and infrastructure you need to build and train your own models.