Smaller and more efficient LLMs that have reasonably good reasoning capabilities can be fine-turned or complemented with RAG and incorporated into the workflow to automate these use cases. Using GPT-4 or some other very large LLM will become cost-prohibitive in these cases. /14
Smaller LLMs with RAG as cost-effective alternative to GPT-4
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