MODELS AS ANNOTATORS in Prodigy v1.13.1 - Focus when models disagree!
Prodigy (https://prodi.gy) is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. Version 1.13.1 adds support for a technique that allows models to behave as if they are annotators. This is useful, because it allows you to focus on examples where models disagree. This video gives a demonstration on how to set this up by also demonstrating spacy-llm.
TIMESTAMPS
[00:00] Introduction
[00:44] Diagram
[04:55] Using a model
[07:43] Model Annotation
[10:30] Setting up spacy-LLM
[14:45] Review
[18:52] Final Thoughts
PRODIGY
● Website & docs: https://prodi.gy
● Live demo: https://prodi.gy/demo
● Forum: https://support.prodi.gy
THIS VIDEO
● v1.13.1 Changelog: https://prodi.gy/docs/changelog#v1.13.1
● Model as Annotator Docs: https://prodi.gy/docs/review/#models-...
● Prodigy LLM Docs: https://prodi.gy/docs/large-language-...
● spaCy-LLM Docs: https://spacy.io/usage/large-language...