Tag: pane
Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services
We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...
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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock | Amazon Web Services
Migrating to the cloud is an essential step for modern organizations aiming to capitalize on the flexibility and scale of cloud resources. Tools like...
Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock | Amazon Web Services
See CHANGELOG for latest features and fixes.
You’ve likely experienced the challenge of taking notes during a...
Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services
Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...
Cohesity Extends Collaboration to Strengthen Cyber Resilience With IBM Investment in Cohesity
PRESS RELEASESAN JOSE, Calif. – April 11, 2024 – Cohesity today announced a deepening of its cyber resilience collaboration with IBM. The enhanced relationship will...
Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results | Amazon...
With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation...
Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy | Amazon Web Services
At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely...
Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services
Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications,...
Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation | Amazon Web Services
Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning...
Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services
Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...
Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless | Amazon Web Services
The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered...
Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services
Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering...
Solar models from Upstage are now available in Amazon SageMaker JumpStart | Amazon Web Services
This blog post is co-written with Hwalsuk Lee at Upstage.
Today, we’re excited to announce that the...
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