Glossary Library

Technical GlossaryGenerative AI and LLM

Stochastic Generation

A generation mode that introduces probabilistic diversity instead of producing the exact same output every time.

Stochastic generation allows generative systems to produce different but plausible outputs for the same prompt. This is highly advantageous for creative applications, ideation, and multi-candidate exploration. However, increased diversity also requires more careful quality control in terms of consistency and factual reliability.

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Explore these concepts to continue your artificial intelligence journey.

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GAN-Based Synthetic Data

A synthetic data approach based on generating new data samples similar to the real distribution using generative adversarial networks.

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Diffusion-Based Synthetic Data

A modern synthetic data generation approach that reconstructs data distributions through noise injection and reverse sampling.

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Encoder-Decoder Transformer

The classical Transformer architecture that encodes an input sequence and contextually generates an output sequence.