fromHackernoon2 months agoArtificial intelligenceModified Intersection over Union (M-IoU) for Sequence Labeling Evaluation | HackerNoon
fromHackernoon2 months agoEducationTutor Training Dataset & Sequence Labeling Annotation | HackerNoon
fromHackernoon2 months agoArtificial intelligenceModified Intersection over Union (M-IoU) for Sequence Labeling Evaluation | HackerNoon
fromHackernoon2 months agoEducationTutor Training Dataset & Sequence Labeling Annotation | HackerNoon
fromHackernoon2 months agoGPT Models for Sequence Labeling: Prompt Engineering & Fine-tuning | HackerNoonPrompt engineering involves designing input prompts to guide GPT models in generating desired outputs; it optimizes the model's ability to identify praise in tutor responses.Online learning
Online learningfromHackernoon2 months agoAutomated Explanatory Feedback for Tutor Training with GPT Models | HackerNoonAutomated feedback systems enhance learning by providing explanatory feedback, but delivering real-time, nuanced responses remains a challenge.
