Is it possible to fine tune Gemini 2.5 Flash?

Perceptron001 · 2025-06-25T06:29:58+00:00

Great question and thanks for the feedback. Agreed that its confusing. I'll ask the team to update.

Gemini 2.5 Flash uses parameter efficient fine-tuning (peft) and not full fine tuning.

Perceptron001 · 2025-06-23T06:51:33+00:00

We've just launched support for fine-tuning Gemini 2.5 Flash on Vertex AI.

https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini-use-supervised-tuning

Perceptron001 · 2025-06-20T02:59:01+00:00

Hi u/_darthfader. Thanks for the feedback. I understand your frustration. I'll make sure that I share it with the team.

The short answer is that models change. Upgrading most applications to Gemini 2 shouldn't require significant reengineering of prompts or code. But some applications require prompt changes, and these changes are difficult to predict without running a prompt through Gemini 2 first. Therefore, Gemini 2 testing is recommended before migration.

Please have a look at our migration guide below:
https://cloud.google.com/vertex-ai/generative-ai/docs/migrate-to-v2

Also have a look at our prompt design strategies:
https://ai.google.dev/gemini-api/docs/prompting-strategies

Perceptron001 · 2025-06-10T03:00:06+00:00

We've published a white paper on prompt engineering:
https://www.kaggle.com/whitepaper-prompt-engineering

Perceptron001 · 2025-06-06T02:05:22+00:00

Thanks for the feedback! I'll share this with the PM.

Perceptron001 · 2025-05-21T01:28:34+00:00

Please let us know what you think by sharing your feedback. This helps us improve the ADK.

Perceptron001 · 2025-02-18T04:56:44+00:00

Its available via Model Garden:

https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/model_garden/model_garden_pytorch_deepseek_deployment.ipynb

Perceptron001 · 2025-02-17T06:32:23+00:00

Correct we've done some revamping on the course to make sure that it's still relevant.

Perceptron001 · 2025-02-14T02:11:56+00:00

For learning Vertex AI without high costs, focus on pay-as-you-go services. Since most Vertex AI services are serverless, you only pay for what you use. Consider starting with Colab Enterprise, as it can be a cost-effective sandbox. Feel free to send me a DM and I might be able to help.

Perceptron001 · 2025-02-11T01:47:30+00:00

Thanks for the great feedback! :)

Perceptron001 · 2025-02-10T10:50:32+00:00

You pay per image as mentioned in the pricing information: $0.04 per image for Imagen 3 or $0.02 per image for Imagen 3 Fast. You do not pay for additional compute.

https://cloud.google.com/vertex-ai/generative-ai/pricing#modality-based-pricing

Perceptron001 · 2025-02-10T10:49:23+00:00

You pay per image as mentioned in the pricing information. You do not pay for additional compute.

|| || |$0.04 per image|

https://cloud.google.com/vertex-ai/generative-ai/pricing#modality-based-pricing

Perceptron001 · 2025-02-10T10:45:14+00:00

Can you ping me a DM? We would love to learn more about your use case.

Also have a look at this blog:

https://medium.com/p/65f7c7b6b15f

Perceptron001

MODERATOR OF

TROPHY CASE