@nishant-singh
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Jan 1 路 5 min read 路 The days of asking "Does it compile?" are over. In the world of Large Language Models (LLMs), the question is now "Does it lie?" If you are building with LLMs, you have likely realized that standard software testing鈥攗nit tests, integration tests鈥攄oes...
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Dec 15, 2025 路 3 min read 路 The "Deploy and Forget" era of Machine Learning is over. We often treat ML models like black boxes鈥攊f the accuracy score is high during training, we ship it. But unlike traditional code, ML models decay. Data drifts, silent failures occur, and models...
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Jun 3, 2025 路 6 min read 路 馃 What is Ragas? Ragas (Retrieval-Augmented Generation Assessment) is an open-source Python framework to automatically evaluate the performance of RAG pipelines. RAG systems retrieve documents from a knowledge base and use them to generate answers. ...
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Jun 3, 2025 路 3 min read 路 As Large Language Models (LLMs) become powerful tools for question answering and summarization, one major challenge still remains: retrieving up-to-date and domain-specific information. This is where Retrieval-Augmented Generation (RAG) systems come ...
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Jun 2, 2025 路 4 min read 路 Overview In this article, we鈥檒l explore how to deploy a scalable Locust-based load testing environment on Google Kubernetes Engine (GKE) using Helm, with features like: 馃悕 Locust Master/Worker autoscaling via HPA 馃捑 Shared test file storage using P...
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