Artificial Intelligence

Category: Generative AI

Attack path

How Wiz is empowering organizations to remediate security risks faster with Amazon Bedrock

Wiz is a cloud security platform that enables organizations to secure everything they build and run in the cloud by rapidly identifying and removing critical risks. Over 40% of the Fortune 100 trust Wiz’s purpose-built cloud security platform to gain full-stack visibility, accurate risk prioritization, and enhanced business agility. Organizations can connect Wiz in minutes […]

Code generation using Code Llama 70B and Mixtral 8x7B on Amazon SageMaker

In the ever-evolving landscape of machine learning and artificial intelligence (AI), large language models (LLMs) have emerged as powerful tools for a wide range of natural language processing (NLP) tasks, including code generation. Among these cutting-edge models, Code Llama 70B stands out as a true heavyweight, boasting an impressive 70 billion parameters. Developed by Meta […]

How Skyflow creates technical content in days using Amazon Bedrock

This guest post is co-written with Manny Silva, Head of Documentation at Skyflow, Inc. Startups move quickly, and engineering is often prioritized over documentation. Unfortunately, this prioritization leads to release cycles that don’t match, where features release but documentation lags behind. This leads to increased support calls and unhappy customers. Skyflow is a data privacy […]

Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

In today’s fast-paced corporate landscape, employee mental health has become a crucial aspect that organizations can no longer overlook. Many companies recognize that their greatest asset lies in their dedicated workforce, and each employee plays a vital role in collective success. As such, promoting employee well-being by creating a safe, inclusive, and supportive environment is […]

Implementing Amazon Bedrock Knowledge Bases in support of GDPR (right to be forgotten) requests

The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. This means that individuals can ask companies to erase their personal data from their systems and from the systems of […]

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

This is a guest post co-written with CBRE. CBRE is the world’s largest commercial real estate services and investment firm, with 130,000 professionals serving clients in more than 100 countries. Services range from financing and investment to property management. CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial […]

Dynamic video content moderation and policy evaluation using AWS generative AI services

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS […]

Solution Architecture

Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

This post is co-written with Murthy Palla and Madesh Subbanna from Vitech. Vitech is a global provider of cloud-centered benefit and investment administration software. Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. To serve their customers, Vitech maintains a repository of […]

Solution architecture

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

This post shows you how to predict domain-specific product attributes from product images by fine-tuning a VLM on a fashion dataset using Amazon SageMaker, and then using Amazon Bedrock to generate product descriptions using the predicted attributes as input. So you can follow along, we’re sharing the code in a GitHub repository.