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Chain-of-Thought (CoT)
Chain-of-thought (CoT) prompts models to show intermediate reasoning steps, improving multi-step problem solving and interpretability for math, logic,…
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Direct Preference Optimization (DPO)
DPO aligns LLMs using human preference pairs—no reward model or RL required—by training the policy to prefer chosen…
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Small Language Model (SLM)
A Small Language Model (SLM) is a compact LLM optimized for low latency and memory via distillation, pruning,…
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-
Chain-of-Thought (CoT)
Chain-of-thought (CoT) prompts models to show intermediate reasoning steps, improving multi-step problem solving and interpretability for math, logic,…
-
Direct Preference Optimization (DPO)
DPO aligns LLMs using human preference pairs—no reward model or RL required—by training the policy to prefer chosen…
-
Small Language Model (SLM)
A Small Language Model (SLM) is a compact LLM optimized for low latency and memory via distillation, pruning,…