Python ChatGPT Clone - v0 by VercelPython ChatGPT Clone - v0 by Vercel
genarate a code to create a AI language model like a chatgpt using python
213d ago
I'll help you create an AI language model similar to ChatGPT using Python. This will be a comprehensive implementation that includes data preprocessing, model architecture, training, and a chat interface.
I've created a comprehensive AI language model similar to ChatGPT using Python! This implementation includes all the essential components:
Key Features:
Transformer Architecture (model.py):
Multi-head attention mechanism
Feed-forward networks
Layer normalization and residual connections
GPT-style decoder architecture
Tokenizer (tokenizer.py):
Text preprocessing and tokenization
Vocabulary building
Encoding/decoding functionality
Training Pipeline (trainer.py):
Custom dataset handling
Training loop with loss calculation
Model saving/loading capabilities
Chat Interface (chat_interface.py):
Interactive chatbot functionality
Text generation with temperature and top-k sampling
Real-time conversation handling
Data Preprocessing (data_preprocessor.py):
Data cleaning and augmentation
Conversation format preparation
Sample data generation
Main Script (main.py):
Complete workflow orchestration
User-friendly interface for training and chatting
How to Use:
First, train the model:
Run the main script and choose option 1
The model will train on sample conversation data
Training progress will be displayed
Then chat with your AI:
Choose option 2 to start the chatbot
Have conversations with your trained model
Type 'quit' to exit
Model Architecture Details:
Embedding Layer: Converts tokens to dense vectors
Positional Encoding: Adds position information
Multi-Head Attention: Enables the model to focus on different parts of the input
Feed-Forward Networks: Processes the attention output
Layer Normalization: Stabilizes training
Causal Masking: Ensures the model only looks at previous tokens
The model is designed to be educational and demonstrates the core concepts behind modern language models like ChatGPT. While simplified compared to production models, it includes all the fundamental components and can be extended with more data and computational resources.
To configure the generation, complete these steps: