Browse all content in the Glossary category
Vertical AI Agents are industry-specific artificial intelligence solutions designed to address unique challenges and optimize processes within distinct sectors. Discover how Vertical AI agents are transforming enterprise software with specialized, high-impact applications.
An AI website generator with code export is a software tool that leverages artificial intelligence to automate website creation while allowing users to export and customize the underlying code in HTML, CSS, JavaScript, or popular frameworks.
Fastai is a deep learning library built on PyTorch, offering high-level APIs, transfer learning, and a layered architecture to simplify neural network development for vision, NLP, tabular data, and more. Developed by Jeremy Howard and Rachel Thomas, Fastai is open-source and community-driven, making state-of-the-art AI accessible for everyone.
OpenAI Whisper is an advanced automatic speech recognition (ASR) system that transcribes spoken language into text, supporting 99 languages, robust to accents and noise, and open-source for versatile AI applications.
Windowing in artificial intelligence refers to processing data in segments or “windows” to analyze sequential information efficiently. Essential in NLP and LLMs, windowing optimizes context handling, resource usage, and model performance for tasks like translation, chatbots, and time series analysis.
Word embeddings are sophisticated representations of words in a continuous vector space, capturing semantic and syntactic relationships for advanced NLP tasks like text classification, machine translation, and sentiment analysis.
Learn the basic information about Writesonic. A quick overview of the key features, pros and cons, and alternatives.
Explainable AI (XAI) is a suite of methods and processes designed to make the outputs of AI models understandable to humans, fostering transparency, interpretability, and accountability in complex machine learning systems.
XGBoost stands for Extreme Gradient Boosting. It is an optimized distributed gradient boosting library designed for efficient and scalable training of machine learning models, known for its speed, performance, and robust regularization.
Zero-Shot Learning is a method in AI where a model recognizes objects or data categories without having been explicitly trained on those categories, using semantic descriptions or attributes to make inferences. It's especially useful when collecting training data is challenging or impossible.
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