AI engineers spend a lot of time building, training, and iterating on models. But as pipelines grow more complex, it becomes difficult to answer simple but cruc...
Practical Guide for AI Engineers with Supporting Tools Artificial Intelligence (AI) is no longer a research curiosity—it powers critical systems in healthcare, ...
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...
In modern AI pipelines, provenance — the lineage of datasets, models, and inferences — is becoming as important as accuracy metrics. Regulators, auditors, and e...
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...
1. Introduction Ravi runs a small auto parts shop in Navi Mumbai. His day starts at 8 AM, but even before he lifts the shutter, his phone is already buzzing. Cu...
1. Introduction If you’ve ever built a chatbot that confidently answered the wrong question, you know the pain of poor intent detection. Imagine a user typing: ...
Retrieval-Augmented Generation (RAG) is one of the most effective techniques for making large language models (LLMs) answer accurately using external knowledge....
If you’ve interacted with ChatGPT or built your own conversational AI, you might have wondered — how exactly does the AI know which parts of a message are from ...
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...