Fine-tune a search agent with multi-turn RL on Amazon SageMaker AI | Amazon Web Services
Search agents powered by large language models (LLMs) are transforming how enterprises retrieve information. Rather than requiring users to craft…
Virtual Machine News Platform
Search agents powered by large language models (LLMs) are transforming how enterprises retrieve information. Rather than requiring users to craft…
When you need quick insights from your Amazon Aurora PostgreSQL operational data, traditional analytics approaches force you to build complex…
In this post, you turn a text prompt into an image, then animate that image into a short video on…
Voice agents, interactive learning applications, accessibility tools, and customer service assistants need to respond without long silent pauses. In this…
With voice cloning, you can generate new speech in a target speaker’s voice from a short reference recording, without retraining…
Reinforcement learning (RL) post-training is becoming a standard step in building capable language model agents. Models learn to reason and…
Any team working with spoken audio hits the same wall with generic speech-to-text. Think contact-center calls, all-hands meetings, podcasts, depositions,…
Data science teams often move among separate tools for governed data access, R analysis, Python model development, deployment, application development,…
Today, we are announcing new Ray capabilities on Amazon SageMaker HyperPod that integrate Ray with the HyperPod purpose-built infrastructure for…
Organizations running machine learning (ML), analytics, and generative AI workloads on Amazon SageMaker Unified Studio domains and projects face a…