Remove APIs Remove Engineering Remove industry standards Remove Scripts
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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 102
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Your Customers Are Talking, But Are You Listening?

Call Journey

Until recently, the industry standard for reviewing calls coming through a contact center oscillated below 2%. This trend is further spurred by the API economy and a rise of marketplaces such as AppFoundry, offering specialized, highly sophisticated, yet light solutions. Agent Script Adherence. Temkin quote.

Scripts 45
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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 103
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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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What is Call Center Compliance?

NobelBiz

Standards Call Centers Must Follow In addition to specific regulations, call centers should adhere to industry standards and best practices, here are 10 of the most important standards any call center should follow: 1. With NobelBiz Omni+ you don’t just make or take calls. The post What is Call Center Compliance?

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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! ) # For the other hyperparameters, see the GitHub notebook attached in this blog.

Benchmark 105