Fine-Tuning
[/faɪn ˈtjuːnɪŋ/]
Definitions
مسودة ترجمة بمساعدة آلية (Arabic) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a particular domain or style. Fine-tuning updates the model's weights to make it perform better on specific tasks without training from scratch.
“مسودة مثال: We fine-tuned the base model on our legal contracts corpus so it could draft clauses in the right style.”
Related Terms
- Synthetic DataAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Synthetic Data": Artificially generated data that mimics the statistical properties of real-world data, used for training or testing AI model...
- AgenticAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Agentic": Describing AI systems capable of autonomous action, planning, and decision-making. An agentic AI can break down tasks, use tools, a...
- Chain of ThoughtAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Chain of Thought": A prompting technique where a language model is encouraged or required to show its step-by-step reasoning before providing...
- Context WindowAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Context Window": The maximum amount of text (measured in tokens) that a language model can process and "remember" in a single interaction. In...
- EmbeddingsAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Embeddings": Dense numerical vector representations of words, sentences, or other data that capture semantic meaning. Similar concepts have s...
- Few-ShotAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Few-Shot": A prompting approach where a small number of input-output examples are included in the context to guide model behavior on a new ta...