Amazon SageMaker AI

Auto Added by WPeMatico

Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face libraries with SageMaker training jobs, which supports distributed multi-GPU and multi-node configurations, so you can spin up high-performance clusters on demand. In this post, […]

Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes Read More »

Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP)

Advanced (300), AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI /

Machine learning (ML) has evolved from an experimental phase to becoming an integral part of business operations. Organizations now actively deploy ML models for precise sales forecasting, customer segmentation, and churn prediction. While traditional ML continues to transform business processes, generative AI has emerged as a revolutionary force, introducing powerful and accessible tools that reshape

Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP) Read More »

Simplify access control and auditing for Amazon SageMaker Studio using trusted identity propagation

Advanced (300), Amazon SageMaker AI, Amazon SageMaker Studio, AWS IAM Identity Center, Technical How-to /

AWS supports trusted identity propagation, a feature that allows AWS services to securely propagate a user’s identity across service boundaries. With trusted identity propagation, you have fine-grained access controls based on a physical user’s identity rather than relying on IAM roles. This integration allows for the implementation of access control through services such as Amazon

Simplify access control and auditing for Amazon SageMaker Studio using trusted identity propagation Read More »

Optimizing Salesforce’s model endpoints with Amazon SageMaker AI inference components

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Customer Solutions /

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Platform Model Serving team is dedicated to developing and managing services that power large language models (LLMs) and other AI workloads within Salesforce. Their main focus

Optimizing Salesforce’s model endpoints with Amazon SageMaker AI inference components Read More »

Scalable intelligent document processing using Amazon Bedrock Data Automation

Amazon Augmented AI, Amazon Bedrock, Amazon Bedrock Data Automation, Amazon Comprehend, Amazon SageMaker AI, Amazon SageMaker Ground Truth, Amazon Textract /

Intelligent document processing (IDP) is a technology to automate the extraction, analysis, and interpretation of critical information from a wide range of documents. By using advanced machine learning (ML) and natural language processing algorithms, IDP solutions can efficiently extract and process structured data from unstructured text, streamlining document-centric workflows. When enhanced with generative AI capabilities,

Scalable intelligent document processing using Amazon Bedrock Data Automation Read More »

How Indegene’s AI-powered social intelligence for life sciences turns social media conversations into insights

AI/ML, Amazon Bedrock, Amazon SageMaker AI, Analytics, Artificial Intelligence, Customer Solutions, Generative AI, Healthcare, Intermediate (200), Life Sciences /

This post is co-written with Rudra Kannemadugu and Shravan K S from Indegene Limited. In today’s digital-first world, healthcare conversations are increasingly happening online. Yet the life sciences industry has struggled to keep pace with this shift, facing challenges in effectively analyzing and deriving insights from complex medical discussions on a scale. This post will

How Indegene’s AI-powered social intelligence for life sciences turns social media conversations into insights Read More »

Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. These pre-trained, text-only Transformer models are built on a Mixture-of-Experts (MoE) architecture that activates only a subset of parameters per token, delivering high reasoning performance while reducing compute costs. They specialize in

Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries Read More »

Introducing AWS Batch Support for Amazon SageMaker Training jobs

Amazon SageMaker, Amazon SageMaker AI, Announcements, AWS Batch /

Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing infrastructure allocation. Simultaneously, your infrastructure administrators spend significant time trying to

Introducing AWS Batch Support for Amazon SageMaker Training jobs Read More »

Customize Amazon Nova in Amazon SageMaker AI using Direct Preference Optimization

Amazon Nova, Amazon SageMaker AI, Artificial Intelligence, Foundation models, Intermediate (200) /

At the AWS Summit in New York City, we introduced a comprehensive suite of model customization capabilities for Amazon Nova foundation models. Available as ready-to-use recipes on Amazon SageMaker AI, you can use them to adapt Nova Micro, Nova Lite, and Nova Pro across the model training lifecycle, including pre-training, supervised fine-tuning, and alignment. In this

Customize Amazon Nova in Amazon SageMaker AI using Direct Preference Optimization Read More »

Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI

Amazon Nova, Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

Evaluating the performance of large language models (LLMs) goes beyond statistical metrics like perplexity or bilingual evaluation understudy (BLEU) scores. For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. This is especially important for applications such as summarization, content generation,

Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI Read More »