RLHF
[/ɑːr el eɪtʃ ef/]
Definitions
Brouillon de traduction automatique (French) for "RLHF": Reinforcement Learning from Human Feedback — a training technique used to align language models with human preferences. Human raters compare model outputs and choose the better response; these preferences train a reward model which then guides further fine-tuning via reinforcement learning.
“Exemple en brouillon: RLHF is the key step that turns a raw language model into a helpful, harmless assistant.”
Related Terms
- Constitutional AIAI & Technology
Brouillon de traduction automatique (French) for "Constitutional AI": A training methodology developed by Anthropic where a set of guiding principles (a "constitution") is used to ...
- Fine-TuningAI & Technology
Brouillon de traduction automatique (French) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a ...
- Synthetic DataAI & Technology
Brouillon de traduction automatique (French) for "Synthetic Data": Artificially generated data that mimics the statistical properties of real-world data, used for training or testi...
- AgenticAI & Technology
Brouillon de traduction automatique (French) for "Agentic": Describing AI systems capable of autonomous action, planning, and decision-making. An agentic AI can break down tasks, u...
- AI AlignmentAI & Technology
Brouillon de traduction automatique (French) for "AI Alignment": The research field focused on ensuring that AI systems pursue goals that match human values and intentions. A misal...
- Chain of ThoughtAI & Technology
Brouillon de traduction automatique (French) for "Chain of Thought": A prompting technique where a language model is encouraged or required to show its step-by-step reasoning befor...