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.
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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...