RickBot: Advanced Conversational AI Project

🚀 Overview

RickBot is an advanced NLP project that leverages the DialoGPT architecture to create a character-based conversational AI. The project demonstrates the implementation of state-of-the-art transformer models for personality-specific dialogue generation.

🛠️ Technical Stack

• Base Model: Microsoft DialoGPT (small)

• Framework: PyTorch, Hugging Face Transformers

• Training: Fine-tuning with custom dataset

• Language: Python 3.x

• Memory Optimization: MPS (Metal Performance Shaders) for M2 Architecture

🎯 Key Features

• Character-specific dialogue generation

• Custom data preprocessing pipeline

• Memory-optimized training process

• Enhanced response generation with context awareness

• Scientific query handling system

🔧 Component Details

• dataset_processor.py: Handles data cleaning and formatting

• improved_data_processor.py: Enhanced data preprocessing with context

• train_improved.py: Fine-tuning with optimized parameters

• chat_with_improved_rick.py: Inference interface with response enhancement

• improved_training_config.py: Training hyperparameters and model settings

📊 Model Performance

• Training Epochs: 3

• Batch Size: 2

• Learning Rate: 2e-5

• Context Window: 128 tokens

• Response Generation Parameters:

  • Temperature: 0.7

  • Top-p: 0.9

  • Top-k: 50

🔍 Real-World Applications

1. Customer Service: Personality-based automated support systems

2. Entertainment: Character-based interactive experiences

3. Content Creation: Automated dialogue generation for creative writing

4. Educational: Interactive tutoring with specific teaching styles

5. Gaming: NPC dialogue systems with distinct personalities

🎯 Learning Outcomes

• Advanced NLP model fine-tuning

• Large language model optimization

• Memory-efficient training techniques

• Context-aware response generation

• Character-specific text generation