Understand Fine Tuning with a simple example - Google's Gemini AI model Tuning
This video shows the difference between a tuned and non-tuned Gemini AI model with a very simple example.
I hope you like this video. For any questions, suggestions or appreciation please contact us at: https://programmerworld.co/contact/ or email at: [email protected]
Steps:
1. Create a sample data
2. Go to https://aistudio.google.com/app for Tuning the model
Excerpts:
Tuning vs prompting in AI?
Prompting: Concept: Involves crafting specific instructions or prompts that guide the LLM towards the desired response.
Fine-tuning: Retraining the model on a new dataset specific to the desired task.
Prompting is ideal for:
Scenarios where access to computational resources or large amounts of data is limited.
Fine-tuning is preferred for:
When you have a large amount of task-specific data available.
For more details, such as sample data files, and screenshots of the results, visit the below:
https://programmerworld.co/android/un...
On this page of the site you can watch the video online Understand Fine Tuning with a simple example - Google's Gemini AI model Tuning with a duration of hours minute second in good quality, which was uploaded by the user Programmer World 22 July 2024, share the link with friends and acquaintances, this video has already been watched 2,951 times on youtube and it was liked by 41 viewers. Enjoy your viewing!
