In this article, we present our approach to leveraging Retrieval-Augmented Generation (RAG) to develop a robust and efficient solution for searching extensive collections of technical manuals used by engineers. This system addresses a variety of practical needs, including: Locating Detailed Procedures: Engineers who are familiar with a maintenance procedure may require precise step-by-step instructions from […]
Introduction In the world of artificial intelligence (AI) and machine learning, Large Language Models (LLMs) like GPT-3 have fundamentally transformed our approach to handling vast quantities of data and knowledge. However, when working on domain specific AI tasks such as Classification or Named Entity Recognition (NER), the need for specialized LLMs becomes apparent. Here we […]
In today’s environment, enterprises, federal agencies, and departments face challenges in managing vast amounts of internal data and information. Traditional keyword searches or navigation through folder systems are no longer efficient in meeting the demands of modern-day information retrieval. A superior, more robust search system provides advantages such as providing visibility into the most relevant […]
Intelligent Process Automation is the combination of different technologies to automate more complete, end-to-end business processes Government agencies and enterprises have been performing business process improvements for the past several years to improve efficiency within their internal processes, reduce waste in internal workflows and streamline business functions. This has led to human workers performing tasks […]
Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language, in particular how to program computers to process and analyze large amounts of natural language data. This is series 2 of the introduction to key capabilities of NLP technologies. Here is the link to Series 1 of this […]
Organizations often ask us, “How well is the AI model is doing?” Or “How do I measure its performance?”, we often respond with “Performance of the AI model is based on what the F1 score of the model is” and we will get a puzzled look on everyones face or asking “what is an F1 […]
Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language, in particular how to program computers to process and analyze large amounts of natural language data. In my previous articles, I have addressed some specific topics on NLP like Text Classification, Natural Language Search, etc. Here […]
Unstructured data in the form of text is everywhere: emails, web pages, social media, survey responses, domain data and more. While textual data is very enriching, it is very complex to gain insights easily and classifying text manually can be hard and time-consuming. For businesses to make intelligent data-driven decisions, understanding the insights in the text […]
Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. In transfer learning, we leverage prior knowledge from one domain into a different domain. The way transfer learning is done is by deleting the last output layer and […]