The difference between machine learning, NLP and deep learning AI tools
More and more organizations and marketers are using Artificial Intelligence (AI) to optimize processes and work more efficiently. Developers of AI tools are continuously releasing new updates to meet the needs of businesses and make their tools user-friendly, such as ChatGPT and Jasper AI.
Want to know what drives the technology behind the various AI tools? In this blog, we’ll give you more insight into the technical concepts of machine learning, NLP and deep learning.
Machine learning is a subfield of AI that focuses on training computers to recognize patterns and learn from data. The process involves providing input data and a set of expected output data, after which the computer builds a model to predict this data. The goal is for computers to learn and improve themselves without having to be explicitly programmed to do so. Machine learning algorithms are used in many different applications, such as image classification, speech recognition and fraud detection.
NLP – Natural Language Processing
NLP refers to the technology that enables computers to understand, analyze and generate human language. It encompasses a wide range of techniques and algorithms used to train computers to understand and interpret language. This includes identifying sentence structure, vocabulary, meaning and intention. NLP is essential for the development of chatbots, translation machines, tools to summarize texts, and other similar applications. ChatGPT, for example, is a tool that makes use of this technology.
Deep learning is a subfield of machine learning and refers to the technology that enables computers to perform complex tasks by simulating human neural networks. Instead of programming specific rules or decision trees, deep learning uses neural networks to analyze data and discover patterns. These networks are inspired by the workings of the human brain, with each artificial neuron performing a particular function and relaying information to other neurons. Deep learning is able to learn and adapt itself to new situations and data, making it particularly suited to tasks such as image and speech recognition, predictive modeling and other similar applications. The autopilot function of self-driving cars is another great example of this.
AI tools to boost your marketing
The STRAREX team is also working with AI tools to work even more efficiently. In this way, we help our customers with their customized marketing strategy. Moreover, AI tools are often used in customer service. Read more about the possibilities ChatGPT and Jasper AI tools in this blog.