With a free Gemini Basic version available and a paid Gemini Advanced model, it’s always interesting to wonder whether it’s worth getting access to the Advanced model.
Today in this document, I will share my detailed analysis and comparison between the Gemini Advanced and Gemini Basic generative AI chatbots.
The document covers the following:
1. Comparison of Google’s Gemini Basic and Gemini Advanced generative AI chatbots.
2. Evaluation of their outputs across various data science use cases.
a. Imputing missing values
b. Explaining AI concepts
c. Generating images
3. Assessment of the models’ technical depth, clarity, and suitability for different audiences.
4. Comparison of their approaches to solving a customer churn prediction problem.
5. Analysis of their explanations of precision and recall metrics.
6. Discussion of their insights on innovative credit risk solutions and climate risk assessment.
7. Guidance for data scientists in choosing the right tool for their needs.
I hope this will help you differentiate between the two Generative AI Model outputs, and help you find your right tool.
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In my opinion this is a very interesting topic. I suggest you discuss it here or in PM.