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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Effective prompt engineering is key to developing natural language to SQL systems. Prompt engineering – The model is trained to complete prompts designed to prompt the target SQL syntax.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

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Struggling With How to Generate Leads? Use These Best Practices

Quality Contact Solutions

That’s why we’ve compiled four best practices to help you meet your sales goals and keep your team busy. Our next lead generation best practice is customer service. Our next best practice in how to generate leads is to focus on your website. Case Study: B2B Lead Generation & Cold Calling.

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E-commerce Call Center Outsourcing Best Practices

Global Response

The key lies in ensuring your outsourced call center implements some core best practices for e-commerce businesses. In this article, our team—with over 40 years of CX and call center experience—will walk you through those best practices, and how to implement them with your outsourced call center partner.

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Best Practices for Growing Your Customer Support Team

TeamSupport

Consider some of these new roles in customer support team leadership: Content Creation Content Author: write new knowledge base content Curriculum Designer: create training curriculum and materials for self-paced and instructor led training Editor: ensure that the content is consistent in style, grammar, accuracy, and formatting UX Design Knowledge (..)

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Best practices for Amazon SageMaker Training Managed Warm Pools

AWS Machine Learning

In this post, we outline the key benefits and pain points addressed by SageMaker Training Managed Warm Pools, as well as benchmarks and best practices. Guidance on what input mode to select is in the best practices section later in this post. Best practices for using warm pools. Data Input Mode.

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Best practices for creating Amazon Lex interaction models

AWS Machine Learning

In this post, we go through a set of best practices for using ML to create a bot that will delight your customers by accurately understanding them. The best practices listed in the following sections can support you in building a bot that will give your customers a great user experience and work well for your use case.