Tag: LLM accuracy
How Vocabulary Size in LLMs Affects Accuracy and Performance
Vocabulary size in large language models directly impacts accuracy, multilingual performance, and efficiency. New research shows larger vocabularies (100k-256k tokens) outperform traditional 32k models, especially in code and non-English tasks.
Read moreSearch-Augmented Large Language Models: RAG Patterns That Improve Accuracy
RAG patterns boost LLM accuracy by 35-60% by fetching real-time data before answering. Learn how hybrid search, query expansion, and recursive retrieval fix hallucinations and cut errors in enterprise AI.
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