Fine-Tuning
Fine-tuning adapts a pretrained model to a narrower task or dataset.
Category
These words describe the operational stack around building and serving AI systems.
Terms used when models are trained, queried, and served.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Fine-tuning adapts a pretrained model to a narrower task or dataset.
Inference is the stage where a trained model produces outputs from new inputs.
A prompt cache stores repeated inputs or intermediate results to cut latency and cost.
A vector database stores embeddings so similar content can be retrieved by meaning.