Site icon BotFlo

How much has Google Gemini improved over the last year?

Sundar Pichai mentioned a few interesting things in a recent interview on the All In Podcast

About a year back, Google Gemini was simply not very good when compared to ChatGPT. But the LLM competition has now intensified, and you can see that Gemini has improved tremendously when compared to a year back.

And this statement isn’t just based on intuition.

You can actually measure this improvement.

And one of the best places to observe this improvement is Structured Data Extraction from unstructured text.

Simon Willison refers to this as “possibly the most economically valuable application of LLMs right now: using them for data entry from unstructured or messy sources”

Measuring the accuracy of Structured Data Extraction

I have developed a system for measuring the accuracy of Structured Data Extraction

The system is fairly simple:

As you can see the system is straightforward. The benefit of using my particular approach is that I have explained how you can build some tooling to help you speed up the process.

I explain this system in more detail in my Udemy course

LLM Comparions

Here are some accuracy comparisons I have done based on my system

Gemini 1.5 Flash vs Gemini 2.5 Flash Accuracy for Structured Data Extraction

Gemini 1.5 Pro vs Gemini 2.5 Flash Preview accuracy for structured data extraction

Gemini 2 Flash Lite vs Gemini 2.5 Flash Preview accuracy for structured data extraction

Gemini 2 Flash vs Gemini 2.5 Flash Preview for structured data extraction

Exit mobile version