Supervised learning: Difference between revisions
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* [[Deep learning]] | * [[Deep learning]] | ||
* [[Generative pre-trained transformer]] (GPT) | * [[Generative pre-trained transformer]] (GPT) | ||
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* [[GPT-4]] | * [[GPT-4]] | ||
* [[Human-in-the-loop]] | * [[Human-in-the-loop]] | ||
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*[[Unsupervised learning]] | *[[Unsupervised learning]] | ||
[[Category:Identify_and_assess_risks]] | [[Category:Identify_and_assess_risks]] | ||
[[Category:Manage_risks]] | [[Category:Manage_risks]] | ||
[[Category:Risk_reporting]] | |||
[[Category:Risk_frameworks]] | [[Category:Risk_frameworks]] | ||
[[Category: | [[Category:The_business_context]] | ||
Latest revision as of 22:24, 11 May 2024
Information technology - software - machine learning - natural language processing.
In the context of machine learning, supervised learning is learning with a human trainer.
It generally includes data labelling.
It is often used as a "fine-tuning" training phase, after unsupervised pre-training.
See also
- Artificial intelligence (AI)
- Artificial super-intelligence (ASI)
- Bot
- Chatbot
- ChatGPT
- Data
- Data labelling
- Deep learning
- Generative pre-trained transformer (GPT)
- Google Gemini
- GPT-4
- Human-in-the-loop
- Information technology
- Language model
- Large language model (LLM)
- Machine learning
- Natural language
- Natural language processing
- Neural network
- Reinforcement Learning from Human Feedback (RLHF)
- Robotics
- Software
- Software robot
- Unsupervised learning
