Tag: LLM accuracy
Vocabulary Size in Large Language Models: How Token Count Affects Accuracy and Efficiency
Vocabulary size in LLMs directly impacts accuracy, efficiency, and multilingual performance. Learn how token count affects model behavior and what size works best for your use case.
Few-Shot Prompting Patterns That Boost Accuracy in Large Language Models
Few-shot prompting boosts LLM accuracy by 15-40% using just 2-8 examples. Learn the patterns that work, when to use them, and how they beat fine-tuning in cost and speed.
