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From context to the next token

Separate the model’s probabilities from the rule that selects an output.

EssentialsExperimentGo deeper
Scientific sources

Teaching simulation · fictional values

What does temperature change?

The sky is…

Reference · T = 1

blue60 %
grey30 %
clear10 %
0 %25 %50 %75 %100 %

Your setting · T = 1

blue60 %
grey30 %
clear10 %
0 %25 %50 %75 %100 %
1
T = 1: the reference distribution is unchanged.

Only three possibilities. No real model is queried; one sample does not measure answer quality.

Check my understanding

Before answering, form your own explanation.

Increasing temperature can make an initially rare token more likely.

Takeaway

Probability expresses model preference in this context, not the truth of a sentence. Temperature changes sampling without adding knowledge. Our example has only three fictional possibilities.

Go deeper
From concept to practicePut it into practice · ChatGPT

Scientific sources

  • Vaswani et al. · 2017Attention Is All You NeedarXiv v7 · 2023
    Original publication

Teaching synthesis of the cited sources. Published results remain tied to their tasks, protocols and budgets.

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18 results

LearnLearning, then using a modelSeparate learned parameters from information supplied with a request.
LearnFrom context to the next tokenSeparate the model’s probabilities from the rule that selects an output.
LearnFrom text to representationsUnderstand why words become vectors without equating a vector with human meaning.
LearnWhat kind of memory?Separate working context, recurrent state, learned parameters and persistent storage.
LearnTransformers: understanding attentionCompare architectures, training methods and complete systems at the right level.
LearnGenerating by denoisingDistinguish corruption during learning from progressive generation.
LearnFrom a model to a system that actsUnderstand the harness around a model and its tools.
LearnPredicting to choose an actionExplore longer horizons and the risk of inaccurate predictions.
LearnDefinitions, not a single verdictExamine generality, performance and adaptation before applying a label.
LearnWhat can a result establish?Move from a convincing impression to a reproducible comparison.
ConfigurePrepare a ChatGPT projectA clear objective, useful context and instructions you can actually use.
ConfigureChoose for your taskStart with your needs. Compare access and outcomes without a universal model ranking.
ConfigureMake your request verifiableTurn an intention into an objective, context and success criteria.
ConfigurePut the right information in the right placeDistinguish working rules, task resources and memory managed by the product.
ConfigurePrepare a development environmentDefine the model’s role, harness capabilities and the access you actually need.
ConfigureCompose a development workflowOrganise preparation, changes, verification and reporting. Reuse the steps that help.
ConfigurePrepare a mission, then check the resultA reproducible example, a checklist and a record of your observations.
Public programsTentacularPublicly available uses, features and resources.