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...
En esta página del sitio puede ver el video en línea Understand Fine Tuning with a simple example - Google's Gemini AI model Tuning de Duración hora minuto segunda en buena calidad , que subió el usuario Programmer World 22 julio 2024, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 2,951 veces y le gustó 41 a los espectadores. Disfruta viendo!
