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Tag: SageMaker

Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI | Amazon Web Services
Amazon Web Services

Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI | Amazon Web Services

vm_adminOctober 2, 2026

Search agents powered by large language models (LLMs) are transforming how enterprises retrieve information. Rather than requiring users to craft…

Aurora PostgreSQL zero-ETL integration with Amazon SageMaker | Amazon Web Services
Amazon Web Services

Aurora PostgreSQL zero-ETL integration with Amazon SageMaker | Amazon Web Services

vm_adminSeptember 30, 2026

When you need quick insights from your Amazon Aurora PostgreSQL operational data, traditional analytics approaches force you to build complex…

Generate images and video with vLLM-Omni on SageMaker AI – Part 2 | Amazon Web Services
Amazon Web Services

Generate images and video with vLLM-Omni on SageMaker AI – Part 2 | Amazon Web Services

vm_adminSeptember 28, 2026

In this post, you turn a text prompt into an image, then animate that image into a short video on…

Build real-time voice applications with vLLM-Omni on SageMaker AI – Part 1 | Amazon Web Services
Amazon Web Services

Build real-time voice applications with vLLM-Omni on SageMaker AI – Part 1 | Amazon Web Services

vm_adminSeptember 28, 2026

Voice agents, interactive learning applications, accessibility tools, and customer service assistants need to respond without long silent pauses. In this…

Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI | Amazon Web Services
Amazon Web Services

Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI | Amazon Web Services

vm_adminSeptember 25, 2026

With voice cloning, you can generate new speech in a target speaker’s voice from a short reference recording, without retraining…

Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod | Amazon Web Services
Amazon Web Services

Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod | Amazon Web Services

vm_adminSeptember 25, 2026

Reinforcement learning (RL) post-training is becoming a standard step in building capable language model agents. Models learn to reason and…

Speaker-labeled transcription with WhisperX on SageMaker AI | Amazon Web Services
Amazon Web Services

Speaker-labeled transcription with WhisperX on SageMaker AI | Amazon Web Services

vm_adminSeptember 24, 2026

Any team working with spoken audio hits the same wall with generic speech-to-text. Think contact-center calls, all-hands meetings, podcasts, depositions,…

Run Positron on Amazon SageMaker AI for data science workflows | Amazon Web Services
Amazon Web Services

Run Positron on Amazon SageMaker AI for data science workflows | Amazon Web Services

vm_adminSeptember 22, 2026

Data science teams often move among separate tools for governed data access, R analysis, Python model development, deployment, application development,…

Introducing new Ray capabilities on SageMaker HyperPod | Amazon Web Services
Amazon Web Services

Introducing new Ray capabilities on SageMaker HyperPod | Amazon Web Services

vm_adminAugust 25, 2026

Today, we are announcing new Ray capabilities on Amazon SageMaker HyperPod that integrate Ray with the HyperPod purpose-built infrastructure for…

Track SageMaker Unified Studio project costs with custom tags and AWS CUR | Amazon Web Services
Amazon Web Services

Track SageMaker Unified Studio project costs with custom tags and AWS CUR | Amazon Web Services

vm_adminAugust 20, 2026

Organizations running machine learning (ML), analytics, and generative AI workloads on Amazon SageMaker Unified Studio domains and projects face a…

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