Remove Examples Remove Generative AI Remove Lambda Remove Storage
article thumbnail

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

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

article thumbnail

CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO

And that is where many CIOs find themselves today: tackling cloud cost issues more skillfully just as disruptive forces such as generative AI are set to ensure those costs will exponentially escalate, CIOs predict. After some time, people have understood the storage needs better based on usage and preventing data extract fees.”

Strategy 351
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Amazon Bedrock offers the generative AI foundation model Amazon Titan Image Generator G1 , which can automatically change the background of an image using a technique called outpainting. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow.

AWS 113
article thumbnail

Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Amazon Bedrock saves the request and completion (response) in Amazon Simple Storage Service (Amazon S3) as the per configuration of invocation logging.

article thumbnail

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

Fortunately, with the advent of generative AI and large language models (LLMs) , it’s now possible to create automated systems that can handle natural language efficiently, and with an accelerated on-ramping timeline. This can be done with a Lambda layer or by using a specific AMI with the required libraries. awscli>=1.29.57

article thumbnail

Incorporate offline and online human – machine workflows into your generative AI applications on AWS

AWS Machine Learning - AI

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

article thumbnail

Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

AWS Machine Learning - AI

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. In this post, we demonstrate how to build a generative AI financial services agent powered by Amazon Bedrock.