Shelf Blog
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As artificial intelligence continues to push boundaries and redefine industries, Generative Adversarial Networks (GAN) have emerged as a game-changer. GANs are transforming the way we generate creative content, from artwork to music, and are revolutionizing fields such as healthcare, art,...
For the successful implementation of Artificial Intelligence (AI), the significance of properly integrating content metadata in AI with Large Language Models (LLMs) cannot be overstated. LLMs, such as Llama, Mistral and Claude, have become instrumental in a myriad of applications, ranging from...
Computers are great at understanding numbers, but not with words. In order to help machines understand, manipulate, and produce words, we have to convert those words to numbers using a process called text vectorization. Text vectorization is the process of turning words and documents into...
From its inception in the theoretical halls of mid-20th century academia to the sophisticated, AI-driven algorithms of today, the evolution of NLP has not only advanced our understanding of language processing but also pushed the frontiers of what’s possible, transforming how we interact...
We encounter content chunks every day. Think of a recipe. A recipe contains content components like a title, a list of ingredients, cooking times, pictures of food, and instructions that contain individual steps. These are “chunks” that together compose a recipe. The process of chunking this...
Natural Language Processing (NLP) is an interdisciplinary field blending computer science, artificial intelligence, and linguistics, aimed at enabling computers to understand, interpret, and engage with human language in both written and spoken forms. NLP combines computational linguistics with...
We live in an on-demand world. Customers expect every product delivered to the doorstep, every service ordered online, and any information they seek immediately available at their fingertips. When customers have questions, they expect answers–on demand. As customer expectations have risen, so have...
The field of Natural Language Processing (NLP) has witnessed significant advancements, yet it continues to face notable challenges and considerations. These obstacles not only highlight the complexity of human language but also underscore the need for careful and responsible development of NLP...
This article presents 10 Generative AI prompts tested and refined to improve customer service effectiveness excerpted from our eBook, 51 Tried and Tested Generative AI Prompts for Customer Service Agents. With Generative AI, agents can rapidly generate personalized, context-aware responses across...
Can we really trust Artificial Intelligence? Let’s face it. AI has trust issues. AI is rapidly permeating our lives. But perhaps even more rapidly permeating, are fears about AI. Fears that are largely due to a lack of transparency as to how AI works. These concerns are evident in questions people...
What Is Bias in AI? In the realm of artificial intelligence (AI), bias is an anomaly that skews outcomes, often reflecting societal inequities. AI bias can originate from various sources, including the data used to train AI models, the design of algorithms themselves, and the way results are...
Businesses have long been increasingly inundated with an unprecedented volume of data. The challenge now is not just about storing ample data but managing, classifying, and transforming this structured and unstructured data into fuel for the engine of business. The critical role of data...