Text generation refers to the ability of artificial intelligence and machine learning systems to produce text automatically. These systems can use advanced language models and algorithms to generate text that is coherent, readable and relevant to a given task.
Text generation is used in a wide variety of applications, such as chatbots, virtual assistants, news summaries, machine translation, product description generation, web content generation and more. It is also used in research tasks, such as generating summaries of scientific articles and synthesising information.
Text generation systems can be based on different approaches, such as supervised learning, unsupervised learning and reinforcement learning. In addition, they can use different natural language processing techniques, such as semantic analysis and natural language generation.
Artificial intelligence (AI), Machine Learning (ML) and data analytics are rapidly changing and having a major impact on our business.
Read More »There is a consensus among executives of the world's leading companies about the crucial impact that Artificial Intelligence (AI) will have on the [...]
Read More »The integration of tools for predictive analytics is already commonplace in large companies, but thanks to the evolution and, above all, to the dem [...]
Read More »GAMCO's forecasts point to an increase of at least 10% in the percentage of "non-performing loans" to individuals over the next five years.
Read More »