1.4 - LLM Temperature

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We use text-ada-001 in all examples with LLMs for cost saving.
Consider that using a better model over text-ada-001 significantly increases costs.

More information can be found at https://platform.openai.com/docs/models/gpt-3.

What is temperature?

In the context of language models like GPT-3 (which is an example of a large language model), temperature is a parameter that affects the randomness and creativity of the model's output. When generating text, the temperature determines how much the model prioritizes high-probability words and how much it explores less likely options.

A higher temperature, such as 1.0, makes the model more random and creative. It increases the likelihood of generating diverse and unexpected responses. On the other hand, a lower temperature, such as 0.5, makes the model more focused and conservative, favoring more probable and safe responses.

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URL: Model Documentation https://platform.openai.com/docs/models

Nodes

• LLM Prompter3 ×
• Constant Value Column1 ×
• Counting Loop Start1 ×
• Credentials Configuration1 ×
• Loop End1 ×
• Math Formula (Variable)1 ×
• Table Creator1 ×
• Table View1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Quick Forms
• FeatureKNIME Views

Links

• No links available