After using ChatGPT 3, and ChatGPT 4, I can share the comparison based on my observation. Here is difference between ChatGPT 3 and ChatGPT 4.
| Features | ChatGPT 3 | ChatGPT 4 |
|---|---|---|
| Architecture | GPT-3 architecture (Transformer) | More advanced, efficient GPT-4 architecture (Transformer) |
| Training Data Size | Large-scale Internet text corpus | Even larger text corpus, with more diverse sources |
| Language Understanding | Impressive natural language understanding | Superior understanding of context and nuance |
| Context Length | Limited context length | Significantly increased context length |
| Real-time Responsiveness | Good performance | Improved performance for real-time conversation |
| Multilingual Capabilities | Supports several languages | Improved support for even more languages |
| Domain Adaptation | General knowledge across various domains | Enhanced domain-specific expertise and adaptation |
| Creativity | Can generate creative responses | More advanced creative generation capabilities |
| Error Correction | Some understanding of grammar and syntax correction | Enhanced ability to correct grammar and syntax errors |
| Logical Reasoning | Moderate logical reasoning skills | More advanced logical reasoning and problem-solving |
| Purpose | Text generation | Text generation |
| Pre-training | Unsupervised learning | Unsupervised learning |
| Model Size | Up to 175 billion parameters | Larger than GPT-3 (exact size undisclosed) |
| Language Support | Multilingual | Multilingual |
| Generality | Broad range of tasks | Improved generalization |
| Context understanding | Moderate understanding | Improved understanding |
| Few-shot learning capability | Good | Expected to be better |
| Training data size | WebText dataset | Potentially larger dataset |
| Tokenization | Byte pair encoding (BPE) | Similar or improved tokenization |
| Training efficiency | Efficient | Potentially more efficient |
| Model interpretability | Limited | Potentially improved interpretability |
| Controlling text generation | Prompt engineering | Improved control methods |
| Reducing biases | Present biases | Reduced biases (potentially) |