Click the image to read our district's guidelines for AI usage:
Learn More about Artificial Intelligence
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10-Minute Video Tutorials for Students
TYPES OF AI:
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Generative AI
Generative Al, including ChatGPT, BING, DALL·E, and Perplexity Al, uses machine learning algorithms and existing data from broad digital and social sources, learning patterns to generate original, human-like material, including text, images and video. |
Text AIT
Text Al technologies, including Google Translate, OCR tools, and OpenAl's GPT-4, process human language in text format, enabling language translation, text recognition and content creation. |
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Analytical AI
Analytic Al, used in systems like Netflix or Amazon recommendations and supply chain optimization, uses machine learning to analyze data, derive insights and make suggestions. |
Visual AI
Visual Al systems used in self-driving cars, security systems, and augmented reality games like Pokémon Go, process and understand images or videos, performing tasks such as object recognition, face detection and image classification. |
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Machine Learning AI
Machine learning is the automated discovery of patterns from a large collection of data. With the emergence of the availability of large amounts of data and access to greater computational processing power, machine learning has become the foundation of modern AI. Large language models (LLMs), evident in platforms like ChatGPT, are examples of models that machine learning and neural networks can create.
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Natural Language Processing AI
Natural language processing (NLP) allows machines to understand naturalized human speech and communication. Interactive Al technologies, evident in platforms like Siri, Alexa, or Google Assistant, are trained using NLP to enable human-like interactions, such as participating in conversations, responding to questions, and providing relevant information. |
