Posts Tagged ‘natural language processing’

With the 2024 Paris Summer Olympics now behind us, I pause for a moment to reflect on a time when the last summer games were held in Europe. The year was 2012, and the Olympics had just wrapped up in London, the queen had celebrated 60 years upon the throne, and in true royal fashion, […]

Introduction  In this blog, we will show you how to build a conversational search application that can interact with Azure Cognitive Search (ACS) and retrieve relevant content from a web-scraped index by asking natural language questions, requesting for summary information, and using vector search. The application will also use OpenAI embeddings, which are pre-trained models […]

In this blog, we will explore how we can effectively utilize Langchain, Azure OpenAI Text embedding ADA model and Faiss Vector Store to build a private chatbot that can query a document uploaded from local storage. A private chatbot is a chatbot that can interact with you using natural language and provide you with information […]

  Democratizing Test Automation through Natural Programming Languages: While conventional testing automation tools wield considerable power, they require specialized skills and knowledge. Enter natural programming languages in testing designed to bridge the chasm between technical complexity and user-friendly interfaces. These languages strive to simplify the testing process by harnessing human language, empowering testers across all […]

Introduction: Welcome, to this comprehensive blog post about COVEO – a cutting-edge technology that is revolutionizing the way we search and access information. In this blog, we will delve into what COVEO is, its key features, benefits, and how it enhances the overall user experience. Whether you’re an IT professional, a developer, or simply curious […]

As businesses strive to stay ahead in today’s competitive market, innovation and creativity have become crucial elements of success. However, the traditional process of content creation can be time-consuming and resource-intensive, leaving little room for experimentation and innovation. This is where Artificial Intelligence comes in. Generative AI is a groundbreaking technology that is transforming the […]

On March 14th, OpenAI announced the launch of ChatGPT-4, the latest and most advanced iteration of its generative pre-trained transformer series. GPT-3.5, the previous version released in 2020, was a groundbreaking language model boasting 175 billion parameters. It was widely acclaimed for its ability to generate coherent and natural language, performing various natural language processing […]

With new regulations and increasing access to data, healthcare organizations (HCOs) have a lot to balance to keep pace with ever-changing consumer expectations. With an understanding of what’s next for the healthcare industry, HCOs can more strategically prioritize investments. As we approach the new year, we expect the following six trends to drive the healthcare […]

Gone are the days when search engines primarily are keyword driven. Modern search has become more intuitive thanks to the capabilities of natural language processing (NLP). Perficient’s Director of Search and Content, Eric Immerman spoke on a webinar hosted by Coveo to discuss the power of NLP in modern search.  The Pitfalls of Traditional Search […]

What do your customers crave from your brand? It’s simple – Personalization. The Next in Personalization 2021 Report from McKinsey reveals that personalization matters more now than ever with 71% of consumers expecting companies to deliver personalized experiences. One way you can demonstrate customer intimacy and personalization is with search. And not just your average […]

This article gives a sense of how matrix operations such as matrix multiplication arise in machine learning. Dense layers Before we get started, there is a small bit of prerequisite knowledge about “dense layers” of neural networks. What is a “dense layer”? Don’t worry about how “dense layers” fit into the big picture of a […]

  The medical information (MI) call center is part of a complex pharmacovigilance system. It may be the only opportunity to gather adverse and product quality data. It’s imperative that it operate efficiently. With a growing number of calls, it’s easy for a center to overrun. That can lead to team burn out, long wait […]