Large Language Models
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Training LLM
Quick Definition
Adjusting parameters on large datasets to learn language
Full Definition
Adjusting model parameters on large datasets to learn language patterns through optimization.
Examples
pre-training, fine-tuning, RLHF
Related Terms
pre-training
fine-tuning
gradient-descent
More Large Language Models Terms
Chain-of-Thought Prompting
Technique encouraging step-by-step reasoning in LLMs
Structured Output
Generating LLM responses in predefined machine-readable formats
Inference LLM
Using a trained LLM to generate outputs from inputs
System Prompt
Special prompt defining AI assistant behavior and constraints
Prompt Caching
Storing key-value states for repeated prompt prefixes
Streaming
Sending LLM tokens to clients as they are generated