by Abinash Pant | Dec 12, 2024 | Uncategorized
For years, Elasticsearch has been a key tool for search technologies, helping businesses and applications quickly index and query large datasets. It’s fast, scalable, and great for tasks like full-text search, log analysis, and real-time data exploration, making...
by Abinash Pant | Dec 11, 2024 | Uncategorized
Vanilla RAG (Retrieval-Augmented Generation) is a model that combines two main processes—retrieval and generation—into a single framework to improve the quality of text generation. In this approach, the model first retrieves relevant pieces of information from an...
by Abinash Pant | Dec 1, 2024 | Programming
Retrieval-Augmented Generation (RAG) is a framework that enhances the performance of large language models (LLMs) by combining retrieval mechanisms with generative capabilities. It integrates the strengths of information retrieval systems and generative AI to provide...
by Abinash Pant | Oct 22, 2024 | Uncategorized
Once the system is deployed, the job is only 50% done. The other 50% ahead is now the substantial effort required to monitor and maintain the system, which can be far more taxing than monitoring and maintaining traditional software. To start, ML systems are typically...
by Abinash Pant | Sep 30, 2024 | Uncategorized
Building upon the solid foundation of the last article, “Scoping to Data Preprocessing,” where we thoroughly explored the importance of scoping, as well as cleaning, transforming, and preparing data, we now begin the crucial phase of training and evaluating , and...