Perplexity

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Perplexity is a measurement of how well a probability distribution or probability model predicts a sample. A low perplexity indicates the model is good at predicting the sample.

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Tensor Parallelelism

Context Length

Rate Limits

HIPPA

Docker

Llava

Containerized

Public Cloud

Virtual Private Cloud (VPC)

Self-hosted models

Compression

Bandwidth

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API-based large language models

API

CI/CD Pipelines

Kubernetes

Node

Inference

Inference Server

Mixture of Expert Models (MoE)

Continuous batching

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Zero shot learning

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Weight

Turing Test

Transformer

Training set

Transfer learning

Training data

TPU

Top P

Top K

Tokenization

Token

Throughput

Titan Takeoff Inference Server

Synthetic data

Supervised learning

Serving

Speculative decoding

Sentiment analysis

Sampling temperature

Rust

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Repetition penalty

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Quantization aware training

Quantization

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Prompt engineering

Pretrained model

Perplexity

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Natural language processing (NLP)

Ngram

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Human in the loop

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Model

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LLaMA

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Machine learning inference

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GPT

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