Fine-tuning technology graph
Wie Fine-tuning mit dem übrigen KI-Stack zusammenhängt. Klicken Sie auf einen Knoten, um den Graphen zu durchlaufen, oder öffnen Sie die Technologieseite für Details.
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Beziehungstypen
- technical
- alternative
- integration
- evolution
- application
- classification
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Nutzt und hängt ab von
- Instruction Tuning technique Techniques Instruction Tuning based on Fine-tuning High ✓ source
- Supervised Fine-Tuning technique Techniques Supervised Fine-Tuning based on Fine-tuning High ✓ source
Angewendet auf
- Axolotl framework Frameworks Axolotl used for Fine-tuning High ✓ source
- DeepSpeed framework Frameworks DeepSpeed used for Fine-tuning High ✓ source
- Dropout technique Techniques Dropout used for Fine-tuning High ✓ source
- Gradient Descent technique Algorithms Gradient Descent used for Fine-tuning High ✓ source
- Learning Rate concept Algorithms Learning Rate used for Fine-tuning High ✓ source
- LoRA technique Techniques LoRA used for Fine-tuning High ✓ source
- MLflow tool MLOps MLflow used for Fine-tuning High ✓ source
- PEFT library LLM Frameworks PEFT used for Fine-tuning High ✓ source
- RLHF technique Techniques RLHF used for Fine-tuning High ✓ source
- Regularization concept Algorithms Regularization used for Fine-tuning High ✓ source
- Reinforcement Learning concept Algorithms Reinforcement Learning used for Fine-tuning High ✓ source
- Synthetic Data technique Techniques Synthetic Data used for Fine-tuning High ✓ source
- TRL library LLM Frameworks TRL used for Fine-tuning High ✓ source
- Weights & Biases tool MLOps Weights & Biases used for Fine-tuning High ✓ source
Alternatives
- RAG technique Techniques RAG alternative to Fine-tuning Medium ✓ source
Classification
- Overfitting concept Algorithms Overfitting part of Fine-tuning High ✓ source