Data privacy is one of the biggest challenges in deploying AI systems. From healthcare to finance, sensitive datasets are often required to train or run machine...
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...
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...
Retrieval-Augmented Generation (RAG) is one of the most effective techniques for making large language models (LLMs) answer accurately using external knowledge....
Introduction In this article, I describe my experiment on making a talking bot using a Large Language Model Llama3.2:1b and running it successfully on the Raspb...
Learning Outcome In this post, we will learn about: 1. What is Ollama? Ollama is an open-source tool/framework that facilitates users in running large language ...
Libraries The following are the required libraries. Check mic check Check if you have a working microphone on your system. Following is the code snippet you can...