LoRA

Fine-Tuning

फाइन-ट्युनिङ

Further training a pre-trained model on specific data to specialize it for a task.

Pre-training

पूर्व-तालिम

The initial large-scale training of a model on broad data before any task-specific tuning.

Batch

ब्याच

A small subset of training data processed together in one step of training.

Distributed Training

वितरित तालिम

Training a model across many machines or chips at once to handle large workloads.

Instruction Tuning

इन्स्ट्रक्सन ट्युनिङ

Fine-tuning a model on examples of instructions and responses so it follows directions better.

Semi-Supervised Learning

अर्ध-पर्यवेक्षित सिकाइ

Learning from a small amount of labeled data combined with a large amount of unlabeled data.

Adam Optimizer

एडम अप्टिमाइजर

A widely used optimizer that adapts the learning rate for each parameter.

Bagging

ब्यागिङ

Training many models on random data subsets and averaging them to reduce variance.