Artificial intelligencefromMedium1 week agoThe problems with running human evalsRunning evaluations is essential for building valuable, safe, and user-aligned AI products.Human evaluations help capture nuances that automated tests often miss.
fromHackernoon5 months agoArtificial intelligenceEvaluating TnT-LLM Text Classification: Human Agreement and Scalable LLM Metrics | HackerNoonReliability in text classification is crucial and can be assessed using multiple annotators and LLMs to align with human consensus.
fromHackernoon4 months agoMiscellaneousWonder3D's Evaluation Protocol: Datasets and Metrics | HackerNoonThe article discusses improving 3D asset generation through advanced diffusion models using a structured evaluation approach.
fromHackernoon5 months agoArtificial intelligenceEvaluating TnT-LLM Text Classification: Human Agreement and Scalable LLM Metrics | HackerNoonReliability in text classification is crucial and can be assessed using multiple annotators and LLMs to align with human consensus.
fromHackernoon4 months agoMiscellaneousWonder3D's Evaluation Protocol: Datasets and Metrics | HackerNoonThe article discusses improving 3D asset generation through advanced diffusion models using a structured evaluation approach.
fromHackernoon11 months agoData scienceThe 7 Objective Metrics We Conducted for the Reconstruction and Resynthesis Tasks | HackerNoonThe article explores advanced speech synthesis tasks using various metrics for evaluation, focusing on voice conversion and text-to-speech models.It details the experimentation and methodologies applied in evaluating speech synthesis quality.