LLMs (Large Language Models) may exhibit "hallucinations" when generating text, meaning the content seems plausible but does not align with reality. There are various methods to mitigate LLM hallucinations, and here are some strategies and practices:
LLMs (Large Language Models) may exhibit "hallucinations" when generating text, meaning the content seems plausible but does not align with reality. There are various methods to mitigate LLM hallucinations, and here are some strategies and practices:
1. Data Quality
2. Retrieval-Augmented Generation (RAG)
3. Fine-tuning and Supervised Learning
4. Tool Integration and API Calls
5. Post-processing and Filtering Mechanisms
6. Reinforcement Learning