Human-in-the-loop: Difference between revisions
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Latest revision as of 22:21, 11 May 2024
Information technology - software - machine learning - natural language processing.
(HITL).
In the context of machine learning, human-in-the-loop refers to one or both of the following roles undertaken by a human:
- Manual labelling of training data.
- Validating or feeding back to the model on the quality of its outputs.
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
- 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
- Supervised learning
- Unsupervised learning