The answer
Generally, models with more parameters can store more information and handle complex reasoning, but they require more compute to run.
Generally, models with more parameters can store more information and handle complex reasoning, but they require more compute to run.
Base models autocomplete text. Instruct models are fine-tuned to answer questions and follow prompts.
Reinforcement Learning from Human Feedback is a method where humans rate model responses to guide training towards helpful answers.
When a model generates factually incorrect or nonsensical assertions with high confidence.
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