Automate the process to change the background of images using Amazon Bedrock and AWS Step Functions
Many clients, including those in creative advertising, media and entertainment, e-commerce, and fashion, often need to change the background of ...
Tag: AWS
What is AWS EMR? Here’s Everything you Need to Know
IntroductionHow do you tackle the challenge of processing and analyzing vast amounts of data efficiently? This question has plagued many ...
Unlocking Innovation: AWS and Anthropic Together Push the Boundaries of Generative AI
Amazon Bedrock is the best place to build and scale generative ai applications with large language models (LLM) and other ...
Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton
This guest post is written by Vihan Lakshman, Tharun Medini, and Anshumali Shrivastava from ThirdAI. Large-scale deep learning has recently ...
Techniques and approaches for monitoring large language models in AWS
Large language models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text ...
Building End-to-End Generative AI Models with AWS Bedrock
Introduction In the past, Generative ai has captured the market, and as a result, we now have various models with ...
Beamr Imaging launches cloud video service on AWS By Investing.com
© Reuters. HERZLIYA, Israel - Beamr Imaging Ltd. (NASDAQ: BMR), known for its video optimization technology, has announced the launch ...
Accenture Creates Regulatory Document Creation Solution Using AWS Generative AI Services
This post is co-written with Accenture's Ilan Geller, Shuyu Yang and Richa Gupta. Bringing innovative new drugs to market is ...
Integrate QnABot on AWS with ServiceNow
Do your employees wait for hours on the telephone to open an IT ticket? Do they wait for an agent ...
Using Poetry and Docker to package your model for AWS Lambda | by Stephanie Kirmer | January 2024
Welcome back! Since you know you'll be deploying this model via Docker on Lambda, that dictates how your inference pipeline ...
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