Strategies for analyzing huge amounts of text with AI: the use of chunking and vector databases
Table of contents In the age of digital transformation, large language models (LLMs) are opening up new ways of analyzing huge volumes of text stored
Table of contents In the age of digital transformation, large language models (LLMs) are opening up new ways of analyzing huge volumes of text stored
In the rapid evolution of the digital age, artificial intelligence (AI) has emerged as a game-changer, revolutionizing how businesses operate and compete on a global scale. European companies have a unique position in the AI landscape, marked by strong regulatory roots and ethical foresights, providing them with an array of strategic advantages. Meanwhile, their American counterparts continue to break ground with aggressive investments, fast-paced innovation, and substantial value creation. But is there a middle ground where Europe can blend its distinctive strengths with American dynamism? This article delves into the comparative strengths of European businesses in AI and explores the opportunities they have to learn from US advancements.
Meetings, in one form or another, are essential to any organisation, yet they can become time-consuming, tedious and hard to keep track of. But what if there is AI that records, transcribes, summarises and archives them automatically? This is exactly what Tucan.ai offers: a smart AI-powered platform that helps you manage your conversations more efficiently and make better data-driven decisions.