Explore our latest articles on AI data annotation, crowdsourcing, and content verification. Stay informed about the trends shaping the future of machine learning and media integrity.
AI generatedA walkthrough of the full three-platform workflow — how a labelled asset becomes a dataset, how a dataset becomes a finetuned model, and why the same audit trail follows the data from workers to weights.
AI generatedAn explanation of the new module-based sidebar in platform-v2 — what the four modules are, how they map to the three platforms, and why your navigation now changes depending on which modules your organisation has enabled.
AI generatedA walkthrough of the AI Platform module — how to take a labeled Data Platform dataset or a Crowd Platform job's accepted answers, pick one of the six supported open-source base models, run a LoRA finetune, and benchmark the result with the crowd before you trust it in production.
AI generatedA walkthrough of the Data Platform module — how to create versioned datasets, run cleaning and language-tech pipelines, deduplicate, and feed the finished dataset into a verification pipeline or a crowdsourcing job.
AI generatedA walkthrough of the Crowd Platform module — your own panel, projects, pipelines, datasets, and budget, all in one tenant, backed by the same platform Crowdee's own agency team runs on.
AI generatedOur first recurring job scheduler, why drift detection compares a schedule against its own history instead of a fixed threshold, and the one honest limitation we shipped with rather than wait to solve.
