Large Language Models are artificial intelligence models designed to process and understand natural language on an enormous scale. These models are trained using deep learning techniques and large amounts of linguistic data, with the goal of capturing the complexities and subtleties of human language. Large language models have proven to be very effective in a wide variety of natural language processing tasks, such as text generation, machine translation, speech recognition, sentiment analysis and automatic question answering. Notable examples of large language models include OpenAI's GPT-3 model and Google's T5 model.
The banking sector has undergone considerable transformations over the past 10 years. Especially as banking has become more integrated and [...]
Read More »Artificial intelligence (AI), Machine Learning (ML) and data analytics are rapidly changing and having a major impact on our business.
Read More »In the previous articles ("Basic concepts to build a commercial software with artificial intelligence" and "How to materialize the opportun [...]
Read More »Unlike a computer program, in which a list of commands are processed through a computer program, AI goes beyond the [...]
Read More »