Medical AI projects routinely deal with scanned documents and images that contain sensitive patient information. Extracting insights from these visuals is crucial – but so is protecting patient privacy. Traditionally,...
If you’re working on annotation projects today, you’ve likely noticed the pressure mounting. Deadlines are tighter. Quality expectations are higher. And you’re expected to do more with less — often...
Many enterprises are eager to leverage large language models (LLMs) to streamline operations and unlock new insights. From automating customer support to generating analytical reports, the promise of innovation is...
The release of Generative AI Lab 7.4 brought new features to enhance annotation and configuration, as covered in Part 1. Now, in Part 2, we explore the practical improvements that...
In LLM (Large Language Models) evaluation, a single error like a hallucination in a drug interaction summary, can cause problems. It may lead to compliance issues or delays in clinical...
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