Artificial intelligence (AI) is a term that refers to intelligence in computers or machines that mimic human intelligence. It encompasses various types of machine intelligence, with current focus on tools that create art, content, and summarize or transcribe content. Examples include ChatGPT, Midjourney, and Google Bard.
An algorithm is a set of instructions followed a program to produce a result. Common examples include search engines like Google and social media apps like TikTok and Instagram. Algorithms enable AI tools to create predictive models and generate content based on user inputs.
Bias in AI refers to incorrect results due to algorithmic assumptions or insufficient data. For example, speech recognition tools trained only with an American accent may struggle to understand other English accents.
Conversational AI refers to AI tools that you can interact with, such as chatbots or voice assistants like Alexa, Google Assistant, or Siri.
Data mining involves analyzing large datasets to identify patterns or trends. AI tools may use data mining to understand consumer behavior or optimize business operations.
Deep learning is a method that imitates how the human brain learns. It uses multiple neural network “layers” to process large amounts of data and reach conclusions. For example, software for self-driving cars uses deep learning to recognize stop signs, lane markers, and traffic lights.
A large language model (LLM) is a deep-learning algorithm trained on extensive datasets to generate, translate, and process text. LLMs power AI tools like ChatGPT, which understand user queries and generate text based on them.
Generative AI produces art, images, or text based on user inputs. Tools like ChatGPT rely on LLMs for generative capabilities. Applications like Adobe Photoshop also utilize generative AI to generate art or transform images.
Hallucination occurs when AI presents false information as fact. It can happen when an AI’s dataset is inaccurate or its training is flawed.
Image recognition enables computer programs to identify specific subjects in images. This technology can identify flowers, species of birds, and more.
Machine learning refers to algorithms improving themselves through experience or data. Deep learning and large language models are forms of machine learning.
Natural language processing enables programs to understand human language inputs. It allows calendar apps to interpret meeting details or voice assistants to provide weather information.
Neural networks mimic the structure and function of the human brain to process information and learn from data. They enable machine learning and complex tasks like image recognition and text generation.
Optical character recognition (OCR) extracts text from images. It is commonly used in applications like the Photos app on iPhones.
Prompt engineering involves crafting prompts to elicit useful responses from AI chatbots or generative AI.
These explanations provide a basic understanding of key terms related to artificial intelligence.
