Gen AI News Talk
Build agentic systems with CrewAI and Amazon Bedrock
This post is co-authored with Joao Moura and Tony Kipkemboi from CrewAI.
The enterprise AI landscape is undergoing a seismic shift as agentic systems transition...
Amazon Bedrock Guardrails image content filters provide industry-leading safeguards, helping customer block up to...
Amazon Bedrock Guardrails announces the general availability of image content filters, enabling you to moderate both image and text content in your generative AI...
Generate training data and cost-effectively train categorical models with Amazon Bedrock
In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine...
Integrating custom dependencies in Amazon SageMaker Canvas workflows
When implementing machine learning (ML) workflows in Amazon SageMaker Canvas, organizations might need to consider external dependencies required for their specific use cases. Although...
Enable Amazon Bedrock cross-Region inference in multi-account environments
Amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining optimal performance and availability....
Amazon SageMaker JumpStart adds fine-tuning support for models in a private model hub
Amazon SageMaker JumpStart is a machine learning (ML) hub that provides pre-trained models, solution templates, and algorithms to help developers quickly get started with...
Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock
In the competitive world of game development, staying ahead of technological advancements is crucial. Generative AI has emerged as a game changer, offering unprecedented...
Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)
Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative...
Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference
Deploying models efficiently, reliably, and cost-effectively is a critical challenge for organizations of all sizes. As organizations increasingly deploy foundation models (FMs) and other...
Evaluate and improve performance of Amazon Bedrock Knowledge Bases
Amazon Bedrock Knowledge Bases is a fully managed capability that helps implement entire Retrieval Augmented Generation (RAG) workflows from ingestion to retrieval and prompt...
