The AI stack, as we define it in the world of generative AI applications, is still in its infancy, even at the time of writing. This means that some parts of the stack have yet to consolidate into a selection of tools, libraries, and frameworks — opening doors for business and investme...
boost productivity,and displace parts, or all,or a large swathe of white- and blue-collarroles. Generative Al systems are becomingincreasingly sophisticated in understandingand generating human
To understand ChatGPT, we need to first understand the history of GPT technology. GPT stands for Generative Pre-trained Transformer, a language model that uses unsupervised learning to generate natural language text. GPT models have been around since 2018, and have gone through multiple iterations,...
Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject. Three flowers in a vase made out of polygon shapes. Parts of the flowers and vase are distorted and stretched....
While the history of generative AI has been characterized by a series of breakthroughs and technological advancements, it has altogether culminated in the current state-of-the-art model, GPT-3. What Makes GPT-3.5 Different from Previous Generative AI Models? As an AI language model, GPT-3.5 ...
Generative AI is a technology to produce various types of content. Learn about what is generative AI, how it works, and some of the most exciting applications of generative AI today.
Is generative AI a game-changer for business? How will it transform the way companies work? And what are the opportunities for investors?
This makes them powerful tools for summarizing knowledge about architectural history or deriving new creative work in early design tasks like ideation, sketching and modelling. But, how good is the understanding of the generative AI models of the history of architecture? Has it learned to properly ...
In this chapter, we look to the future of generative AI and its implications. Since ChatGPT arrived in 2022, the pace of development in generative AI has been rapid with startups and big tech companies entering the race to create the most advanced generative AIs. In the following sections,...
Microsoft Fabric and the embedded generative AI capabilities in Fabric present another great transformation for financial services. Microsoft Fabric will be the cornerstone of LSEG’s Data Platform, and their financial markets intelligence will help enable the financial markets ecosystem to leverage ...