1. What is GPT-4?
GPT-4 was released in March 2023 and is a larger version of Chat-GPT. GPT-4 has more advanced inference capabilities and achieves human-level performance on various high school exams. GPT-4 is a multimodal model, capable of processing both text and images, but only accepts text as input. Chat-GPT is fine-tuned from GPT 3.5 and optimized for dialogue interactions. GPT-4 cannot be fine-tuned, does not update knowledge in real-time, and sometimes generates inaccurate information. This limitation can be overcome by using OpenAI plugins that allow access to third-party information sources like the internet.
Quantitative values and names of the theories not to be missed:
GPT-4:
- Released in March 2023. Achieves human-level performance on various high school exams. Multimodal model. Limitations include inability to fine-tune, not updating knowledge in real-time, and sometimes generating inaccurate information.
- Chat-GPT: Fine-tuned from GPT 3.5 and optimized for dialogue interactions.
Advantages and disadvantages of each theory:
GPT-4:
- Advantages: Achieves human-level performance on various high school exams. Multimodal model.
- Disadvantages: Cannot be fine-tuned, does not update knowledge in real-time. Sometimes generates inaccurate information.
Chat-GPT:
- Advantages: Optimized for dialogue interactions.
- Disadvantages: May not achieve high performance like GPT-4 in more complex tasks.
2. Comparison between GPT-4 and GPT-3:
Similarities:
- Both are powerful sequence-to-sequence language generation models from OpenAI.
- Both have the ability to generate natural language text from text inputs.
Differences:
Performance: GPT-4 is recognized to have better performance than GPT-3, especially in complex tasks such as inference and logical reasoning. Multimodal model: GPT-4 is a multimodal model, capable of processing both text and images, while GPT-3 only processes text. Update capability: GPT-4 does not update knowledge in real-time, while GPT-3 can be updated with new data. Fine-tuning: GPT-4 cannot be fine-tuned, while GPT-3 can be fine-tuned with new data to optimize for specific tasks. Reliability: GPT-4 tends to generate more accurate information than GPT-3, thanks to improvements in training process and model architecture.
- GPT-4 is a valuable update from GPT-3 with improvements in performance and multimodal processing capabilities; however, it also has limitations such as inability to be fine-tuned and not updating knowledge in real-time.
- GPT-4 advancements: What is GPT-4? How does GPT-4 compare to GPT-3?
- GPT-3 limitations: Exploring the potential and drawbacks of GPT-3
- OpenAI language models: Progress and limitations of large language models: ChatGPT and GPT-4
- Human-level performance: Understanding the strengths and limitations of tokenization and vectorization in NLP
- Update capabilities: Training and inference with transformers
- Fine-tuning limitations: The role and pros and cons of positional encoding in transformer architecture
- Multimodal capabilities: Deep dive into Meta’s LLAMA model and large language models
- Language model evolution: Evolution of natural language processing: From Bag of Words to Transformer
