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Showing posts with the label Generative AI Implementation

LLMs in Legal Tech: Automating Document Review and Contract Analysis

Photo by Karolina Grabowska www.kaboompics.com on Pexels LLMs in Legal Tech: Automating Document Review and Contract Analysis Introduction to LLMs and Legal Tech Large Language Models (LLMs) are increasingly transforming various industries, and the legal field is no exception. LLMs, trained on vast amounts of text data, possess the capability to understand, summarize, and generate human-like text. This ability makes them particularly well-suited for automating time-consuming and resource-intensive legal tasks such as document review and contract analysis. This article explores the applications of LLMs in legal tech, focusing on how they are used to streamline these processes. Automating Document Review with LLMs Document review is a critical process in litigation, compliance, and due diligence. Traditionally, lawyers and paralegals manually sift through large volumes of ...

Scaling Generative AI Applications in the Cloud

Photo by Google DeepMind on Pexels Scaling Generative AI Applications in the Cloud Introduction Generative AI applications, which include large language models (LLMs), image generators, and other advanced AI systems, demand significant computational resources. Scaling these applications in the cloud requires a strategic approach that considers infrastructure, model optimization, and efficient resource management. This tutorial outlines the key considerations and best practices for scaling generative AI applications in a cloud environment, an integral part of Generative AI Implementation. Understanding the Challenges of Scaling Generative AI Scaling generative AI differs significantly from scaling traditional software applications. The primary challenges stem from: Computational Intensity: Training and inference of generative models require substantial processing power, o...