MLOps and deployment

171 terms

# A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

  • Shard - A shard is a logical portion of a larger dataset, model or data structure that can be stored or processed separately.
  • Signaling compression - Signaling compression reduces the size of messages used to establish, manage or end communication sessions.
  • Silence compression - Silence compression reduces the data used to represent quiet or inactive portions of an audio signal.
  • Smallest grammar problem - The smallest grammar problem asks for the most compact context-free grammar that generates exactly one specified string.
  • Solid compression - Solid compression compresses data from several files together within a shared compression stream or block, allowing information from one file to help encode...
  • Speech coding - Speech coding represents a speech signal as digital information suitable for storage or transmission.
  • Standard test image - A standard test image is a commonly used reference image for examining or comparing image-processing methods.
  • Sub-band coding - Sub-band coding represents a signal by dividing it into frequency-related components and encoding those components separately.
  • Tensor Parallelism - Tensor parallelism distributes parts of individual model tensors and their associated computations across multiple devices.
  • Test-time compute - Test-time compute is the computational work used when a trained model processes an input and produces a result.
  • Texture compression - Texture compression stores graphics texture data in a compact representation designed to support efficient sampling during rendering.
  • Time-domain harmonic scaling - Time-domain harmonic scaling, or TDHS, is a family of signal-processing methods that uses pitch information and weighted waveform segments to approximate...
  • Training Pipeline - A Training Pipeline is an organized sequence of steps that turns selected data and a training configuration into a fitted model and evidence about its...
  • Training-serving skew - Training-serving skew is a difference between how a model behaves or performs in its training and evaluation setting and how the same model behaves or...
  • Transform coding - Transform coding compresses data by first expressing it in a different mathematical representation, then encoding the resulting coefficients.
  • Trellis quantization - Trellis quantization chooses quantized values by searching paths through a graph of candidate decisions and states.
  • Tunstall coding - Tunstall coding is a lossless variable-to-fixed-length coding method.
  • Unary coding - Unary coding represents a nonnegative integer by repeating one bit a number of times equal to the integer and ending with the opposite bit.
  • Uncompressed video - Uncompressed video represents frames directly through their specified image samples rather than a video compression scheme that encodes spatial or temporal...
  • Universal code (data compression) - A universal code in data compression is a coding scheme designed to work across a specified class of sources without requiring the exact source...
  • Variable bitrate - Variable bitrate, or VBR, is an encoding approach in which the amount of data used per unit of media time can change.
  • Video codec - A video codec is a system for encoding video into a defined representation and decoding that representation into pictures.
  • Video compression picture types - Video compression picture types classify pictures by the prediction methods and reference relationships used to encode them.
  • Video Multimethod Assessment Fusion - Video Multimethod Assessment Fusion, usually written Video Multi-Method Assessment Fusion or VMAF, is a perceptual video quality assessment method developed...
  • Virtual counts - Virtual counts are numerical values that represent prior information in certain probability models as if it contributed counts alongside observed data.
  • Warped linear predictive coding - Warped linear predictive coding is an audio-coding approach that models a signal using linear prediction on a nonuniform frequency scale.
  • Weissman score - The Weissman score is a compression-comparison metric that combines compression ratio and compression time relative to a baseline compressor.

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