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What Are Tokens, Max Tokens, Context Limits, Knowledge Nodes, and Temperature in AI?
Key AI terms: tokens, max tokens, context, knowledge nodes, and temperature

What are tokens?

Tokens are the basic units that AI language models use to process text, which don't always correspond to complete words - for example, "I love to eat apples" might be tokenized as ["I", "love", "to", "eat", "app", "les"].

Different AI models use different tokenization methods, breaking words into common subword pieces to efficiently process vocabulary and understand word variations.


What does Max Tokens means?

Max Tokens defines the maximum length of text the AI model can generate in a single response - it's like setting a word limit, but using the AI's basic text units (tokens) instead of words. When reached, the model will stop generating more text.


what does Previous Messages Limit ?

Previous Messages Limit controls how many earlier messages in the conversation the AI can access and consider when generating its next response - this affects the model's ability to maintain context and coherence.


what does Knowledge Base Nodes?

Knowledge Base Nodes determines how many distinct pieces of information from the AI's training data it can reference when creating a response, affecting the scope and depth of knowledge used to answer queries.


what does Temperature means?

Temperature controls how varied the AI's responses are. Lower values (e.g., 0.1) make responses more focused and predictable, while higher values (e.g., 0.9) make them more creative.

Example: "What is a cat?"

  • Low Temperature (0):
    "A cat is a small, carnivorous mammal often kept as a pet. They are known for their agility, independence, and playful behavior."

  • High Temperature (1):
    "A cat is a small, domesticated carnivorous mammal known for its agility and playfulness. They belong to the species Felis catus and are popular pets worldwide."


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