Token Generation Process

A Token Generation Process is a language model process that produces output tokens from probability distributions during text generation.

• AKA: Token Production Process, Token Sampling Process, Next-Token Generation Process, Token Decoding Process.
• Context:
  • It can typically compute Token Generation Process Probability Distributions over token generation process vocabulary spaces using token generation process neural network outputs.
  • It can typically select Token Generation Process Next Tokens through token generation process sampling strategys such as token generation process greedy decoding or token generation process beam search.
  • It can typically maintain Token Generation Process Context States across token generation process generation steps for token generation process coherent output.
  • It can typically apply Token Generation Process Temperature Scaling to control token generation process output randomness and token generation process creativity levels.
  • It can typically enforce Token Generation Process Stopping Criteria through token generation process end-of-sequence tokens or token generation process maximum length constraints.
  • It can typically incorporate Token Generation Process Attention Mechanisms to weight token generation process context relevance during token generation process token selection.
  • It can typically utilize Token Generation Process Logit Biases to influence token generation process token probabilitys for token generation process controlled generation.
  • It can often support Token Generation Process Batch Processing for token generation process parallel generation across multiple token generation process input sequences.
  • It can often implement Token Generation Process Caching Mechanisms to optimize token generation process computation efficiency for token generation process repeated contexts.
  • It can often enable Token Generation Process Constraint Enforcement through token generation process token masking or token generation process grammar guidance.
  • ...
  • It can range from being an Unconstrained Token Generation Process to being a Constrained Token Generation Process, depending on its token generation process structural rules.
  • It can range from being a Greedy Token Generation Process to being a Sampling-Based Token Generation Process, depending on its token generation process selection strategy.
  • It can range from being a Sequential Token Generation Process to being a Parallel Token Generation Process, depending on its token generation process generation order.
  • It can range from being a Deterministic Token Generation Process to being a Stochastic Token Generation Process, depending on its token generation process randomness level.
  • ...
• Example(s):
  • Autoregressive Token Generation Processes, such as:
    • GPT Token Generation Process for token generation process left-to-right generation.
    • LLaMA Token Generation Process for token generation process causal language modeling.
  • Constrained Token Generation Processes, such as:
    • JSON Mode Token Generation Process for token generation process structured output.
    • Grammar-Guided Token Generation Process for token generation process syntactic correctness.
  • Specialized Token Generation Processes, such as:
    • Code Token Generation Process for token generation process programming languages.
    • Fill-in-the-Middle Token Generation Process for token generation process code completion.
  • ...
• Counter-Example(s):
  • Static Text Template, which lacks token generation process dynamic generation.
  • Rule-Based Text Generation, which lacks token generation process learned probabilitys.
  • Text Retrieval Process, which lacks token generation process novel text creation.
• See: Language Model, Neural Network Output Layer, Probability Distribution, Text Generation Task, Autoregressive Model, Token Vocabulary, Attention Mechanism, Beam Search Algorithm, Sampling Strategy, Structured Generation Framework, Constraint Enforcement Mechanism, Token-Level Masking Technique.

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