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In-Context Learning (ICL)
ICL lets LLMs infer tasks from prompt-only examples—no weight updates—enabling zero/few-shot classification, extraction, and reasoning with schema-following in…
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Instruction Tuning
Instruction tuning fine-tunes LMs on instruction–response pairs to improve adherence, helpfulness, and controllability, and often precedes preference tuning…
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In-Context Learning (ICL)
ICL lets LLMs infer tasks from prompt-only examples—no weight updates—enabling zero/few-shot classification, extraction, and reasoning with schema-following in…
-
Instruction Tuning
Instruction tuning fine-tunes LMs on instruction–response pairs to improve adherence, helpfulness, and controllability, and often precedes preference tuning…