Feature Engineering
Process of transforming raw data into features that better expose patterns to learning algorithms.
Dapp Ahoy! World beyond Web3
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Archives: Glossary
Archives: Glossary
Foundation Model
Large model trained on broad data that can be adapted to many downstream tasks.
Fine‑Tuning
Adapting a pre‑trained model on task‑specific data, often with smaller learning rates and adapters.
Few‑Shot Prompting
Supplying a handful of labeled examples inside the prompt to steer an LLM’s behavior.
Few‑Shot Learning
Model’s ability to generalize from a small number of examples per class or task.
Full Node
Node that fully validates blocks and transactions and stores the complete blockchain state or history.
Frugal Finality
Design goal of achieving rapid, energy‑efficient finality with minimal validator overhead.
Front‑Running
Reordering or inserting transactions to profit from observed pending orders; a core MEV category.
Flashbots
Research and tooling ecosystem around MEV mitigation and private transaction relays for Ethereum.
Flash‑Swap
Mechanism allowing tokens to be withdrawn before payment in AMMs, enabling arbitrage within one transaction.
Flash Loan
Uncollateralized on‑chain loan that must be repaid within a single transaction, else it reverts.
