Perform fine-tuning on the Gemini model using a specific set of input and output data. This process will allow the model to learn from the provided dataset and improve its accuracy and performance on targeted tasks. The goal is to ensure that the model can better understand and respond to the given input based on the expected output, enhancing its capabilities for real-world scenarios.
Goals
[ ] Collect and organize a dataset of inputs and their corresponding outputs for fine-tuning.
[ ] Implement fine-tuning on the Gemini model using the dataset to improve the model's performance.
[ ] Adjust model parameters and architecture as needed to optimize the fine-tuning process.
[ ] Evaluate the model’s performance before and after fine-tuning to measure improvements.
[ ] Test the model with new data to ensure it responds accurately based on the fine-tuning.
Expected Outcome
A fine-tuned Gemini model that has improved performance and accuracy for specific tasks based on the provided dataset.
The model can handle new inputs effectively, producing outputs that align with the expected results from fine-tuning.
Enhanced model response in real-world scenarios with the capability to generalize from the fine-tuning process.
Acceptance Criteria
[ ] Dataset of input-output pairs is collected and used for fine-tuning.
[ ] The Gemini model is successfully fine-tuned with the dataset, improving its performance.
[ ] The model demonstrates noticeable improvement in accuracy and response after fine-tuning.
[ ] The fine-tuned model is tested with new input data and produces accurate outputs.
[ ] Performance is documented and improvements are measured against the pre-tuning state.
Main worked involved general research around gemini and trying to create a model which can be used in our scenario. For fine tuning approach was using the vertex ai dashboard provided by google.
Description
Perform fine-tuning on the Gemini model using a specific set of input and output data. This process will allow the model to learn from the provided dataset and improve its accuracy and performance on targeted tasks. The goal is to ensure that the model can better understand and respond to the given input based on the expected output, enhancing its capabilities for real-world scenarios.
Goals
Expected Outcome
Acceptance Criteria
Mockups / Wireframes
NA
Product Name
Beckn-Gemini
Domain
TBD
Tech Skills Needed
Complexity
High
Category
Model Training
Sub Category
Fine-Tuning
Project View
Beckn-Gemini AI Services
Project Name
Beckn-Gemini