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Results for “synthetic data generation”

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LLMsSep 7, 20261 min read

LentEx: Synthetic Data and Fine-Tuning for Latent Entity Extraction

LentEx introduces a framework for extracting implicit, contextually inferred entities using synthetic data and instruction fine-tuning of smaller LLMs, improving performance and domain generalization.

From arXiv cs.CL

AgentsSep 4, 20261 min read

Physical AI model factory on SageMaker HyperPod with NVIDIA Cosmos 3

A continuous pipeline for building physical AI systems is demonstrated using NVIDIA Cosmos 3 on SageMaker HyperPod, focusing on synthetic data, training, and evaluation with GPU goodput as a key metric.

From AWS machine learning blog

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

How this blog is made

Every post is a routed request

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.

Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.