Dictionary

Artificial Intelligence (AI): A field of study that aims to create machines capable of intelligent behavior. It includes the development of algorithms and computer programs to perform tasks that would typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

Natural Language Processing (NLP): A subfield of AI focused on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful. NLP combines computational linguistics with AI techniques to process and analyze large amounts of natural language data.

ChatGPT: A state-of-the-art language model developed by OpenAI, based on the GPT (Generative Pretrained Transformer) architecture. It is designed to understand and generate natural language, allowing for a wide range of conversational AI applications.

Hacking: Originally, this referred to a deep understanding and creative problem-solving in computer systems and networks. Modern hacking has both ethical (good hacking) and unethical (bad hacking) connotations, often associated with unauthorized access to computer systems.

Life Hacking: Applying creative problem-solving and unconventional or innovative methods to improve efficiency and solve everyday problems in personal and professional life.

Code Review: The process of examining source code to find errors or improve quality. This can be done manually or with automated tools.

Debugging: A method of finding and resolving defects or problems within code in software development projects.

IDE (Integrated Development Environment): A software application that provides comprehensive facilities to computer programmers for software development, such as a source code editor, build automation tools, and a debugger.

Canva: A graphic design platform used to create social media graphics, presentations, posters, documents, and other visual content.

Wireframe: A visual guide that represents the skeletal framework of a website or application, used in planning a site's structure and functionality.

Deep Learning: A class of machine learning algorithms that use multiple layers to progressively extract higher-level features from the raw input.

Prompt Engineering: The practice of crafting prompts effectively to guide AI models like ChatGPT in generating precise and insightful responses.

SEO (Search Engine Optimization): The process of improving the quality and quantity of website traffic by increasing the visibility of a website or a web page to users of a web search engine.

Machine Learning (ML): A subset of AI that involves the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Tokenization: In the context of NLP, tokenization is the process of converting a sequence of characters into a sequence of tokens (words, symbols, or other elements).