ManySpace
English Giriş yap Kayıt ol

Yapay ZekâÖnerilenAIML-LM-012

Supervised Fine-Tuning

Instruction data shapes behavior: SFT as fine-tuning for following directions.

Bu konunun henüz Türkçe çevirisi yok, bu yüzden İngilizce gösteriliyor.

Zorluk
3 / 5
Önem
4 / 5
Çalışma süresi
1–2 sa
Çalışma türü
Karma

Neden önemli

The learner can explain how instruction-response pairs redirect a pretrained model.

Bu konuya giden rota

Rota AIML-LM-012
What Is a Model? Tasks: Regression, Classification, and Beyond Features and Targets Classification Framing Linear Regression I: Prediction and Residuals Embeddings Tokens and Tokenization Scores and Logits Loss and Fitting: Squared Error Multiclass Scores and Softmax The Artificial Neuron Autoregression Objective Functions and Empirical Risk Activation Functions Next-Token Prediction Gradient Descent in Machine Learning Likelihood The Multilayer Perceptron Cross-Entropy Loss Stochastic and Mini-batch Optimization The Language-Modeling Objective Transfer Learning Pretraining Fine-Tuning Supervised Fine-Tuning