Transformer
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
A phenomenon where learning is improved when study sessions are spaced out over time rather than crammed together.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input.
A creative problem-solving technique that uses metaphors to generate ideas and solutions.
A cognitive bias where people underestimate the complexity and challenges involved in scaling systems, processes, or businesses.
The study of the interplay between individuals and their surroundings, including built environments and natural settings.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
A mindset and approach that embodies the entrepreneurial spirit, passion for improvement, and deep sense of ownership typically associated with a company's founders.