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) |
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