AI Engineering Podcast cover image

Expert Insights On Retrieval Augmented Generation And How To Build It

AI Engineering Podcast

00:00

When to Use and Not Use RAG Architecture in Generative AI

RAG architecture should not be used for general-purpose tasks where existing models can effectively summarize or generate creative content, such as storytelling or advertising, where some level of hallucination may enhance the output. Instead, RAG is advantageous when working with custom data that requires grounding to reduce inaccuracies. For creative endeavors, relying on prompt engineering is usually more effective unless stringent alignment with specific messages or styles is needed. Customization needs are crucial in determining the appropriateness of RAG, fine-tuning, and pre-training models, making prompt engineering a recommended starting point for addressing various use cases.

Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner