The competition among companies to develop the best LLM model is ongoing, but there is a growing focus on improving RAG pipelines. The author argues that having a robust and accurate RAG pipeline is currently more important than an extremely accurate LLM. Models like Phi3 and Mistral have shown a good understanding of English and the ability to solve complex problems with the right knowledge plug-in. Updating the knowledge base of LLMs is easier than retraining them, especially in a rapidly evolving information landscape. In the age of biases and fake news, having a dynamic and accurate knowledge base is crucial for ensuring reliable responses from LLMs. The shift towards enhancing RAG pipelines is seen as a positive development, as it allows for the integration of up-to-date and reliable information to improve the capabilities of existing LLMs in a changing world.
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Source link: https://blog.cubed.run/the-focus-will-shift-to-rag-pipelines-accuracy-soon-2b8be4019635?source=rss——llm-5
RAG pipeline accuracy in focus as shift approaches #accuracy
