Improving LLM Accuracy: How SLED Leverages Every Model Layer for Factual Results Large language models (LLMs) have transformed how we interact with AI, but ensuring their outputs are consistently accurate remains a challenge. Hallucinations, confident but incorrect responses, ofte... AI research decoding methods factuality hallucinations LLM accuracy model layers SLED
Unlocking Accuracy in RAG: The Crucial Role of Sufficient Context When it comes to reducing hallucinations and improving accuracy in large language models (LLMs), the focus is shifting from mere relevance to the concept of sufficient context . Rather than simply ret... AI safety Google Research hallucinations LLMs RAG retrieval systems sufficient context