Large language models have a knowledge cutoff date, meaning their information is static from the moment training concludes. This contrasts with company data, which is constantly updated. The primary methods for bridging this gap involve retrieval-augmented generation (RAG) and fine-tuning. AI
IMPACT Addresses the challenge of keeping AI models updated with current information, crucial for practical applications.
RANK_REASON The item discusses general concepts of LLM knowledge limitations and methods to address them, rather than reporting on a specific event or release.
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