Explosion builds developer tools for AI, Machine Learning and Natural Language Processing.

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Select...Code GenerationCoreference ResolutionDependency ParsingDistillationEmbeddings & VectorsEntity LinkingEvaluationImage ClassificationImage SegmentationLayout AnalysisLemmatizationNamed Entity RecognitionObject DetectionOptical Character Recognition (OCR)Part-of-Speech TaggingPII AnonymizationQuestion AnsweringRelation ExtractionRetrieval-Augmented Generation (RAG)Rule-Based MatchingSpan CategorizationText ClassificationText GenerationTokenizationWeak Supervision

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Select...Adriane BoydÁkos KádárBasile DuraChung-Fan TsaiDamian RomeroDaniël de KokDuygu AltinokEdward SchmuhlHelena SteckmeisterIndia KerleInes MontaniKabir KhanLj MirandaMadeesh KannanMagdalena AniołMatthew HonnibalPaul O’Leary McCannPeter BaumgartnerPhilip VolletRaphael MitschRehan AhmedRichard HudsonRyan WesslenSofie Van LandeghemVictoria SlocumVincent D. WarmerdamVinit RavishankarWalter Henry

Vibe NLP for Applied NLP PyCon DE & PyData

What if we could take learnings from AI-powered coding agents and apply them to solving real-world NLP problems? In this talk, I’ll show how we’ve built a powerful virtual NLP assistant to help developers create practical and modular solutions that are small, fast and fully data-private.

How to advocate for modular NLP in the age of Generative AI

With all the hype around Generative AI, many are led to believe it’s the solution to everything. So how can you, as a developer, communicate the nuances and advocate for new and modular solutions that are better, easier and cheaper?

✨ prodigy v1.18.0Feb 24, 2025 \ Text editing during NER and span annotation, custom translations and more JavaScript features

✨ prodigy v1.16.0Oct 22, 2024 \ Modal plugin for on-demand deployment, cross-platform wheels and UI fixes

Practical Tips for Bootstrapping Information Extraction Pipelines DataHack Summit

This talk presents approaches for bootstrapping NLP pipelines and retrieval via information extraction, including tips for training, modelling and data annotation.

Who said what: using machine learning to correctly attribute quotes The Guardian Engineering Blog

How the Guardian uses spaCy and Prodigy to train a custom coreference resolution model.

A practical guide to human-in-the-loop distillation

This blog post presents practical solutions for using the latest state-of-the-art models in real-world applications and distilling their knowledge into smaller and faster components that you can run and maintain in-house.

How Love Without Sound helps the music industry recover millions in revenue for artists with NLP, spaCy and Prodigy

A case study on Love Without Sound’s innovative AI-powered tools for the music industry and law firms specializing in royalty negotiations.