--- title: "Improving LLM Output by Combining RAG and Fine-Tuning" url: https://daily.dev/posts/improving-llm-output-by-combining-rag-and-fine-tuning-gimehxzzh source_url: https://thenewstack.io/improving-llm-output-by-combining-rag-and-fine-tuning/ type: article source: "The New Stack" published: 2024-04-30T17:56:23.726Z updated: 2024-05-09T07:52:51.999Z tags: ["enterprise", "llm", "conversational-ai"] reading_time: 8 upvotes: 2 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Improving LLM Output by Combining RAG and Fine-Tuning **[The New Stack](https://daily.dev/sources/newstack)** · 8 min read · 2 upvotes · 0 comments ## Summary 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. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 0 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments --- Tags: [#enterprise](https://daily.dev/tags/enterprise), [#llm](https://daily.dev/tags/llm), [#conversational-ai](https://daily.dev/tags/conversational-ai) [View this post on daily.dev](https://daily.dev/posts/improving-llm-output-by-combining-rag-and-fine-tuning-gimehxzzh)