Provenance in AI: Building a Provenance Graph with Neo4j – Part 3
In Part 2, we built a ProvenanceTracker that generates signed, schema-versioned lineage logs for datasets, models, and inferences. That ensures trust at the dat...
Category: Computer Vision
AI & ML/Computer Vision/Deep Learning/Deep Reinforcement Learning/Explainable AI/GenAI/LLMs/Medical Imaging/Natural Language Processing - NLP/Software Development
Provenance in AI: Tracking AI Lineage with Signed Provenance Logs in Python – Part 2
In modern AI pipelines, provenance — the lineage of datasets, models, and inferences — is becoming as important as accuracy metrics. Regulators, auditors, and e...
AI & ML/Computer Vision/Deep Learning/Deep Reinforcement Learning/Explainable AI/GenAI/LLMs/Medical Imaging/Natural Language Processing - NLP/Software Development
Provenance in AI: Why It Matters for AI Engineers – Part 1
1. Introduction: Why AI Needs a Paper Trail Imagine debugging a complex AI pipeline without knowing which version of the dataset was used, how the features were...
Fast Face Search (Billion-scale Face Recognition) using Vector DB (Faiss)
1. Introduction Before understanding what face search is, what the use cases are, and why performing face search fast is so crucial, let us understand the follo...