An educational crypto, finance, and AI vocabulary puzzle about payment rails, market plumbing, retrieval, and model serving.
Stable Value Rails
These terms cover issuance, backing, and cash-out for tokenized value.
- Mint: Minting is the process of creating new tokens according to protocol rules.
- Reserve: A reserve is the asset pool held to support a token or claim.
- Redemption: Redemption is the process of exchanging a token or claim for the underlying value.
- Stablecoin: A stablecoin is a crypto asset designed to track a reference value, often one U.S. dollar.
Market Friction
These terms cover visible depth, quoted gaps, and execution drag.
- Spread: The spread is the difference between the best bid and the best ask in a market.
- Slippage: Slippage is the gap between the expected price and the price you actually get.
- Liquidity: Liquidity describes how quickly an asset can be bought or sold without moving price much.
- Depth: Depth is the amount of buy and sell interest available around the current market price.
Agent Memory Stack
These terms cover embeddings, retrieval, and context management.
EmbeddingRetrievalContext WindowVector Database - Embedding: An embedding is a numeric representation that captures meaning or similarity.
- Retrieval: Retrieval is the act of fetching useful external information for a model or agent.
- Context Window: The context window is the amount of text or tokens a model can consider at once.
- Vector Database: A vector database stores embeddings so similar items can be searched efficiently.
Inference Efficiency
These terms cover delay, work rate, grouped processing, and lower precision.
- Latency: Latency is the delay between a request and the start or completion of a response.
- Throughput: Throughput is the amount of work a system can process in a given time period.
- Batching: Batching groups multiple inputs or requests together to improve efficiency.
- Quantization: Quantization reduces numerical precision to lower memory use and speed up inference.