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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. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications.

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How to Communicate Effectively with Customers: Best Practices

Cincom

By making communication a priority, companies see growth across all metrics. The key stages include: Initial Research: Early messaging should focus on educating prospects with thought leadership content detailing industry trends and best practices. Continuously analyze performance metrics on automation to refine over time.

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Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

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Drive efficiencies with CI/CD best practices on Amazon Lex

AWS Machine Learning

You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.

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Best practices for load testing Amazon SageMaker real-time inference endpoints

AWS Machine Learning

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. From there, we dive into how you can track and understand the metrics and performance of the SageMaker endpoint utilizing Amazon CloudWatch metrics. Metrics to track.

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Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines

AWS Machine Learning

In this post, we provide some best practices to maximize the value of SageMaker Pipelines and make the development experience seamless. Best practices for SageMaker Pipelines In this section, we discuss some best practices that can be followed while designing workflows using SageMaker Pipelines.

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Sales Planning Best Practices

aircall

When you use best practices in sales planning, everyone involved benefits — marketing teams, sales managers, sales teams, and your customers. Best practices for sales planning begins with an overall comprehensive plan that serves as your roadmap for sales call planning. Best Practices to Improve Sales Planning .