Generate
A generate function is an API operation that produces model-generated outputs from specified inputs during inference.
Deep Learning with R, Third Edition
generate() is a text-generation method that extends a prompt with tokens sampled according to a configured generation strategy.
- How it is used
- Generates prompt continuations or model outputs, supporting text sampling and epoch-end image visualization.
- How deep it goes
- Demonstrates prompting, greedy sampling, max_length, and callback integration, but defers generation internals and sampling details.
- Examples
- Uses Gemma continuations for advice, brownies, and a factual question, plus a callback that displays generated image grids.
- What you can do after
- Apply it via KerasHub to generate bounded text continuations or integrate image generation into an epoch-end callback.
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Build a Large Language Model (From Scratch)
A function used to produce model outputs from input prompts by running generation over a fine-tuned language model.
- How it is used
- Generates and collects responses from an instruction-fine-tuned language model for manual comparison and evaluation.
- How deep it goes
- Shows call arguments, decoding, prompt slicing, and response storage, but does not detail the generation algorithm internally.
- Examples
- Uses instruction prompts, decoded model responses, a three-entry comparison, and a full test-set JSON export.
- What you can do after
- Apply it via generate calls to produce, decode, compare, and save instruction-following model responses.
Read how Build a Large Language Model (From Scratch) explains generate →
Related concepts
- callbackused by · A callback is a function or other callable supplied to software for invocation later in response to a specified event, condition, or point in execution.
- vLLMused by · vLLM is an open-source library and serving engine for high-throughput, memory-efficient inference of large language models.
- GPT4Allused by · GPT4All is an open-source software ecosystem for running and interacting with language models locally on consumer or organizational hardware.
- language modelused by · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
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