Hi Vernon,

Thank you for your kind words and for taking the time to provide such a thoughtful response. I appreciate your keen eye for detail and your interest in ensuring a fair comparison.

To clarify, the main takeaway is that combining Large Language Models (LLMs) with specialized content through Retrieval-Augmented Generation (RAG) can significantly enhance their value. This is a crucial point that I believe resonates.

Regarding your point, it's important to note that Alani itself is not an LLM but rather a system that leverages RAG to enhance the capabilities of existing LLMs like GPT-4, Claude 3, or Llama 3. When users interact with Alani, they are choosing one of these LLMs to query the data (there are 7 to choose from).

Therefore, the comparison is indeed apples-to-apples, as Alani represents the integration of RAG with an LLM, similar to how you would use any of the other models with specialized content.

That was a mouthful. Does it make sense?