Getting Started with Google AI Studio – Tips and Best Practices?

Gemini API
1

Hi everyone,

I’m fairly new to the Google AI ecosystem and have just started exploring Google AI Studio. It looks like a powerful tool, especially for working with language models, but I’d love some tips or best practices on how to get started effectively. I’ve gone through the basics, but now I’m looking to dive deeper.

One area I’m really interested in is Generative AI Training “Modified by moderator” specifically how to train or fine-tune models for tasks like content generation, summarization, or chat-based applications. Does Google AI Studio support this kind of workflow? And if so, are there any recommended resources or guides?

I’d also appreciate hearing how others are working Google AI Studio into their current projects. Are there any pitfalls I should watch out for, or useful features that I may be missing?

Thank you in advance to whoever is willing to share their experience or nudge me towards useful tutorials. Really hoping to learn from this community!

Best,
mathewjacob

3

Hi @mathewjacob,

Here is the fine tuning guide you can go through. Also, you can run this colab notebook for better understanding. Gemini doc and Gemini cookbbok are the best place to explore the Gemini capabilities.

Fine tuning was supported in AI Studio earlier which can be still be accessible through this link, but it will be deprecated from AI Studio and only be available through Vertex AI.

Thanks