INT8

/ɪnˈteɪt/

n. “small numbers, absolute certainty.”

INT8 is an 8-bit two's complement integer ranging from -128 to +127, optimized for quantized neural network inference where model weights/activations rounded to nearest integer maintain >99% accuracy versus FP32 training. Post-training quantization or quantization-aware training converts FP32 networks to INT8, enabling 4x throughput and 4x memory reduction on edge TPUs while zero-point offsets handle asymmetric activation ranges.

Key characteristics of INT8 include:

RNN

/ɑr ɛn ˈɛn/

n. "Neural network with feedback loops maintaining hidden state across time steps for sequential data processing."

MVCC

/ˌɛm viː siː ˈsiː/

n. — "Database sorcery keeping readers blissfully ignorant of writers' mayhem."

MVCC (Multi-Version Concurrency Control) stores multiple temporal versions of each database row, letting readers grab consistent snapshots without blocking writers—who append fresh versions instead of overwriting. Unlike 2PL locking wars, transactions see "their" reality via timestamps/transaction IDs, with garbage collection culling ancient corpses once safe.

Key characteristics and concepts include:

CouchDB

/kuːtʃ diː biː/

n. — "JSON document store obsessed with offline replication sync."

CouchDB is Apache's Erlang-built NoSQL document database storing JSON-like documents with built-in bi-directional replication and multi-version concurrency control (MVCC) for offline-first apps. Unlike MongoDB's master-slave replication, CouchDB treats all nodes equal—changes propagate via HTTP with automatic conflict resolution via revision vectors, using MapReduce views for querying and B-tree indexes for fast lookups.

MongoDB

/ˈmɒŋɡoʊ diː biː/

n. — "NoSQL dumpster storing JSON blobs without schema nagging."

MongoDB is document-oriented NoSQL database using BSON (Binary JSON) format to store schema-less collections of records, grouping related documents without rigid table schemas or foreign key joins. Unlike SQL RDBMS, MongoDB embeds related data within single documents or references via ObjectIDs, supporting ad-hoc queries, horizontal sharding across replica sets, and MapReduce aggregation pipelines.

Cyclic Redundancy Check

/ˌsiː-ɑːr-ˈsiː/

n. “The digital fingerprint that checks your data for errors.”

CRC, short for Cyclic Redundancy Check, is an error-detecting code used in digital networks and storage devices to detect accidental changes to raw data. By applying a mathematical algorithm to the data, CRC generates a fixed-size checksum (also called a CRC value) that can be used to verify data integrity during transmission or storage.

Key characteristics of CRC include:

Protocol-Buffers

/ˈproʊtəˌkɒl ˈbʌfərz/

n. “The compact language for talking to machines.”

Protocol Buffers, often abbreviated as Protobuf, is a language- and platform-neutral mechanism for serializing structured data, developed by Google. It allows developers to define data structures in a .proto file, which can then be compiled into code for multiple programming languages. This provides a fast, efficient, and strongly-typed way for systems to communicate or store data.

Key characteristics of Protocol Buffers include:

Comma-Separated Values

/ˌsiː-ɛs-ˈviː/

n. “Plain text pretending to be a spreadsheet.”

CSV, or Comma-Separated Values, is a simple text-based file format used to store tabular data. Each line represents a row, and each value within that row is separated by a delimiter — most commonly a comma. Despite its minimalism, CSV is one of the most widely used data interchange formats in computing.