Improving LLM Output by Combining RAG and Fine-Tuning

Large language models (LLM) and conversational AI have great potential to make applications easier to use. Conviva shares their experience of building a conversational Q&A solution using LLM, their choice of open source models, and their hybrid approach of combining fine-tuning with retrieval-augmented generation (RAG) to improve the quality of answers.