Artificial Intelligence

Artificial Intelligence (AI) refers to computer systems that can perform tasks that typically require human intelligence. These tasks include text generation, image generation, text editing, language translation, and more. AI systems can range from simple programs that solve specific problems to highly complex machines that can learn and adapt over time. AI, also referred to as machine learning (ML), although they are different. Similarly, Large Language Models (LLMs) are often referred to as AI and fit under the umbrella of AI with ML, but neither demonstrates actual intelligence.

Machine Learning (ML) refers to the algorithms that allow the computer to learn from data and then make predictions and decisions.

Large Language Models (LLMs) refer to generating natural language texts from large amounts of data. LLMs use a deep network to learn words and produce text on any topic. They can perform various natural language tasks, such as classification, summarization, translation, generation, and dialogue.

• Text generation: This refers to my ability to generate new text based on a given prompt or topic. I can use my understanding of language and my training data to produce sentences, paragraphs, or even longer pieces of text.
• Text completion: This involves predicting and generating the most likely words or phrases to complete a given sentence or paragraph based on context.
• Question-answering: I can answer questions by identifying the most relevant information from my training data and generating an appropriate response.
• Summarization: I can summarize longer pieces of text into shorter summaries while retaining the main ideas and important details.
• Text translation: I can translate text from one language to another, with varying levels of accuracy depending on the language pairs.
• Conversational AI: This refers to my ability to engage in natural language conversations with humans, responding to prompts and questions in a conversational manner.
• Sentiment analysis: I can analyze text to determine the overall sentiment or emotion expressed within it.
• Named entity recognition: I can identify and extract named entities such as people, places, and organizations from text.
• Part-of-speech tagging: I can identify the part of speech (noun, verb, adjective, etc.) of each word in a given sentence.

NYU Libraries. (2024). Generative AI and Large Language Models (LLMs). https://guides.nyu.edu/chatgpt