Prodigy-Segment for Pixel SegmentationUse Meta’s “Segment Anything” model in Prodigy to help you select the right pixels in images.
Prodigy-PDF for PDF annotation and OCRWant to annotate PDF files? Our new Prodigy plugin can help with that! To explain how to use PDF segmentation and OCR, Vincent made a small demo video.
Custom Interfaces with blocksYou can create custom annotation layouts in Prodigy using the annotation widgets that Prodigy provides by using the blocks feature. This video explains how to use this feature by building a custom interface that can manually annotate and transcribe audio.
floret: lightweight, robust word vectorsAn exploration of floret vectors: lightweight vectors for noisy data, novel words, rich morphology and more.
Diary of a spaCy project: Predicting GitHub TagsMany people assume that working on an NLP project involves a lot of machine learning. Our experience is that it's much less about flowing tensors, and more about making a tailored solution. This blogposts demonstrates how a typical spaCy project could be initiated, implemented and executed towards a custom solution.
Finding Duplicates in Tabular Data with Jupyter and ProdigyIn this video, we’ll show you how to use Prodigy to train a named entity recognition model from scratch, by taking advantage of semi-automatic annotation and modern transfer learning techniques.
Prodigy in 2023: LLMs, task routers, QA and pluginsWe have made a ton of new updates in Prodigy this year with v1.12, v1.13, and v1.14 releases. So we decided to write a post about them.
Large Disagreement Modelling“In this blogpost I’d like to talk about large language models. There’s a bunch of hype, sure, but there’s also an opportunity to revisit one of my favourite machine learning techniques: disagreement.”
Introducing spaCy v3.4spaCy v3.4 brings typing and speed improvements along with new vectors for English CNN pipelines and new trained pipelines for Croatian.
Introducing spaCy v3.3spaCy v3.3 improves the speed of core pipeline components, adds a new trainable lemmatizer, and introduces trained pipelines for Finnish, Korean and Swedish.
Introducing Prodigy-HFHugging Face BlogLast week, Explosion introduced Prodigy-HF, a new Prodigy plugin offering code recipes that directly integrate with the Hugging Face stack.
Models as annotators in ProdigyHow to use models and LLMs as annotators to find disagreements and prioritize examples to annotate first.
Finetuning and Bulk Labelling Images with Prodigy In this video, we’ll show how you might be able to improve the annotation experience by using bulk labelling for image classification.
Bulk Labelling and ProdigyIn this video, we’ll show a bulk labelling technique that can help you prepare data for Prodigy.
Finding Bad Image Data using UMAP and ProdigyIn this video, we’ll show you how to use Prodigy to find bad examples in the Google QuickDraw dataset. We will be leveraging a technique that involves UMAP to find strange images semi-automatically.
Intro to NLP with spaCy (1): Detecting programming languagesIn this new video series, data science instructor Vincent Warmerdam gets started with spaCy, an open-source library for Natural Language Processing in Python. His mission: building a system to automatically detect programming languages in large volumes of text.
Prodigy-ANN for Image Retrieval via CLIPDealing with a huge bucket of images that you want to annotate? The new image retrieval features in Prodigy-ANN (approximate nearest neighbors) might help!
Task Routers in ProdigyHow to use the new task routers to customize how examples are assigned in multi-annotator workflows.
Finding Video Games with Sense2VecIn this video, we’ll show how you can improve the annotation experience by leveraging sense2vec to pre-fill named entities.
Finding Bad Labels for Text Classification with Jupyter and Prodigy In this video, we’ll show you how to use set up Prodigy to find bad labels in text classification tasks. While many of the techniques are applied to text classification, they can also be used for classification tasks in general.
Compact word vectors with Bloom embeddingsAn introduction to the compact word vectors with Bloom embeddings used in Thinc, spaCy and floret.
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