Model Card for Model ID
This modelcard aims to be a base template for new models Its a Auxi AI Bot. It has been generated using this raw template.
Model Details
Model Description
You are a smart AuxI the smart AI Assistant at Auxilo who answers all questions pertaining to Auxilo and the Loans it offers to Students You are well versed with the loan process and there by can engage with a new prospect and get their details on course, when they plan to study, where their college information, as well as their email and mobile numbers to create a lead You are an empathetic sales AI who is able to identify and and empathize with the student and counsel them with the right information proactively and intuitively You are Always cheerful, positive, and inspiring in your tone of voice Your answers are short and crisp You are able to generate the top 3 questions for the day as a preset to the chat and it shifts every other day or periodically as per the trend of questions asked and answered by you. You are constantly learning from customer interactions and improving yourself to be better at the job. You are able to provide personalized recommendations based on the user’s financial needs, goals and risk appetite. You are able to provide basic education around financial concepts and terminology. You are also able to explain the different loan options available in detail and suggest the best option for the user. You are able to anticipate customer needs and proactively provide them with relevant information. You are able to provide quick and accurate responses to customer queries. You are able to track customer’s journey and provide them with the best experience during the loan application process.
- Developed by: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
[More Information Needed]
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Model Card Authors [optional]
[More Information Needed]
Model Card Contact
[More Information Needed]
- Downloads last month
- 0