AI is only as good as its diet

Retrieval Augmented Generation is still the best option, even with 10 million tokens context. Because Garbage In, Garbage Out.

Our AI’s only as good as its diet.

Seriously, think about Retrieval Augmented Generation like little digital plants. You wouldn’t try to grow prize-winning roses in toxic sludge, right?

Same deal here.

If we feed any Generative AI models clean, well-organized, and relevant info, they can generate text that’s actually useful, insightful, and maybe even interesting to read.

Good data is the rich soil that lets RAG bloom.

But what the hell is RAG?

So, what’s Retrieval Augmented Generation (from now on let’s call with the famous acronym RAG)?

It’s a smart technique we use in natural language processing (NLP) to give Large Language Models (LLMs) a boost.

You know how sometimes LLMs just make stuff up? They sound super confident, but the ‘facts’ are totally wrong.