Untitled Deck Flashcards
What is an Application Programming Interface (API)?
A way to programmatically access (usually external) models, data sets, or other pieces of software.
Define Artificial Intelligence (AI).
The ability of software to perform tasks that traditionally require human intelligence.
What are Artificial Neural Networks (ANNs)?
Composed of interconnected layers of software-based calculators known as ‘neurons’ that process vast amounts of input data.
What is Deep Learning?
A subset of machine learning that uses deep neural networks to learn from unstructured data such as images, text, and audio.
What are the ‘earliest’ and ‘latest’ scenarios in work-automation models?
The ‘earliest’ scenario flexes all parameters to the extremes of plausible assumptions for faster automation, while the ‘latest’ scenario flexes them in the opposite direction.
What is Fine-tuning in the context of machine learning?
The process of adapting a pretrained foundation model to perform better in a specific task using a smaller labeled data set.
What are Foundation Models (FM)?
Deep learning models trained on vast quantities of unstructured, unlabeled data, adaptable through fine-tuning.
Define Generative AI.
AI built using foundation models with the capability to generate content, including non-generative uses.
What are Graphics Processing Units (GPUs)?
Computer chips originally developed for producing computer graphics, also useful for deep learning applications.
What are Large Language Models (LLMs)?
A class of foundation models that process massive amounts of unstructured text and learn relationships between words.
What is Machine Learning (ML)?
A subset of AI where a model gains capabilities after being trained on many example data points.
What does Modality refer to?
A high-level data category such as numbers, text, images, video, and audio.
Define Labor Productivity.
The ratio of GDP to total hours worked in the economy, influenced by capital, education, and technology.
What is Prompt Engineering?
The process of designing, refining, and optimizing input prompts to guide a generative AI model.
What is Self-attention?
A mechanism that relates different positions of a single sequence to compute a representation of the sequence.
What are Structured Data?
Tabular data that can be used to train some machine learning models effectively.
What are Transformers in neural networks?
A neural network architecture that uses self-attention mechanisms to transform input sequences into output sequences.
What is Technical Automation Potential?
The share of work time that could be automated, assessed through analysis of occupational activities.
Define Use Cases in a business context.
Targeted applications to a specific business challenge that produce measurable outcomes.
What characterizes Unstructured Data?
Data that lack a consistent format or structure, requiring advanced techniques to extract insights.
