Reinforcement Learning
stable-baselines3
English
sales_conversion_rl
sales
conversation-analysis
conversion-prediction
ppo
turn-by-turn-analysis
Instructions to use DeepMostInnovations/sales-conversion-model-reinf-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DeepMostInnovations/sales-conversion-model-reinf-learning with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DeepMostInnovations/sales-conversion-model-reinf-learning", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "speaker": "customer", | |
| "message": "Hello, I'm looking for information on your new AI-powered CRM." | |
| }, | |
| { | |
| "speaker": "sales_rep", | |
| "message": "You've come to the right place! Our new AI CRM is designed to revolutionize sales workflows. What are you hoping to achieve with a new CRM?" | |
| }, | |
| { | |
| "speaker": "customer", | |
| "message": "maybe not for us. its a great product, in future may buy" | |
| }, | |
| { | |
| "speaker": "sales_rep", | |
| "message": "Excellent, those are two key strengths. Our AI analyzes lead behavior to provide highly accurate scoring, and the automated sequences can be personalized using dynamic content. Would you be interested in a quick demo of those features?" | |
| }, | |
| { | |
| "speaker": "customer", | |
| "message": "looks oke, but maybe we can't consider" | |
| } | |
| ] |