This glossary defines a wide range of machine learning terms, including those specific to TensorFlow and large language models.
Artificial Intelligence Glossary | Stanford HAI
Artificial Intelligence (AI) is rapidly growing, with new terms and concepts being introduced at a breakneck speed. You may have seen terms such as AGI, machine learning, or foundation models in media headlines, emerging legislation, or in your everyday life.
Glossary of Terms: Generative AI Basics - MIT Sloan Teaching & Learning Technologies
Learn key AI terms. This glossary defines and explains important concepts like generative AI, large language model, natural language processing, and more.
Artificial intelligence glossary: 60+ terms to know
Use this comprehensive glossary of AI terms to understand the language of artificial intelligence.
What is Machine Learning? | IBM
Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data.
What Are Machine Learning Algorithms? | IBM
A machine learning algorithm is the procedure and mathematical logic through which an AI model learns patterns in training data and applies to them to new data.
Machine Learning | Google for Developers
ml5 - A friendly machine learning library for the web.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
Machine Learning Tutorial - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
Anemll/examples/VARIABLE_CONTEXT.md at main · Anemll/Anemll
Artificial Neural Engine Machine Learning Library. Contribute to Anemll/Anemll development by creating an account on GitHub.
Glossary of Terms for Artificial Intelligence | Columbia Business School
Columbia University in the City of New York 665 West 130th Street, New York, NY 10027 Tel. 212-854-1100
Datasheets for Datasets
The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains. To address this gap, we propose...
transformers/src/transformers/models/auto/tokenization_auto.py at 1d5296f2de31ecee4fdd789dc2b2fe068b320284 · huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers
Algorithmic Data Minimization for Machine Learning over...
Machine learning can analyze vast amounts of data generated by IoT devices to identify patterns, make predictions, and enable real-time decision-making. By processing sensor data, machine learning...
LukeW | The Evolution of AI Products
At this point, the use of artificial intelligence and machine learning models in software has a long history. But the past three years really accelerated the ev...
Luminal - Search-Based Deep Learning Compilers - Joe Fioti
Personalized Machine Learning
This page contains collects information and supplementary material for my textbook Personalized Machine Learning: