Generative AI in Salesforce Marketing Cloud
Artificial Intelligence: Basic Concepts
To get into the subject, we will start by defining some basic concepts, such as Artificial Intelligence : in this case, some definitions classify it as the creation of intelligent agents that are capable of learning and reasoning autonomously .
Furthermore, within the realm of Artificial Intelligence telegram philippines there is something called Machine Learning . This is a subfield of Artificial Intelligence that, thanks to the development of techniques and access to data, allows computers to learn .
There are different models of Machine Learning and we will mention two: supervised and unsupervised models . Supervised learning consists of algorithms that, with specific and labeled data, learn to predict future data. While unsupervised learning helps us classify data without human intervention or the existence of labels.
Deep Learning and Neural Networks
Within Machine Learning we also find Deep Learning . The latter is a model that uses algorithms based on neural networks to carry out automatic learning (from the available data) and make decisions autonomously. Among others, some examples may be voice assistants such as Alexa or Siri ; since these technologies are capable of recognizing the voice and performing specific actions.
Furthermore, as part of deep learning, it is also worth highlighting the aforementioned Generative AI , which is capable of autonomously creating new content from the information and patterns it has previously learned.
And finally, in relation to Artificial Intelligence and Deep Learning, we also find another relevant concept. This is the Foundational Model , an AI system that is trained with a huge amount of data (generally unstructured) coming from the Internet, and which includes text, images or videos. Therefore, they are prepared to offer a wide variety of solutions , such as generating texts, answering questions, designing images, creating codes or solving problems.