Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 06 Mar 24
- Large Language Models (LLMs) can learn better when given contextual information, which helps them be more accurate and reduce mistakes.
- Retrieval-augmented generation (RAG) is a useful method because it allows models to customize responses without needing a lot of extra training.
- Even with good context, LLMs can still create some incorrect responses, showing that they sometimes mix up information in a believable way.