What the difference between ChatGPT 3.5 and GPT 4
Mar 24, 2023
In recent years, AI language models have experienced significant advancements, with OpenAI leading the charge. Two of their most notable models are GPT-3.5 and GPT-4, both boasting impressive capabilities. Thanks to the in-depth analysis provided in the video by YouTube channel name, which reviews the GPT-4 technical report, we've prepared a comparison table that highlights the respective features and performance of GPT-3.5 and GPT-4. This comprehensive overview will give you a clearer understanding of each model's strengths and weaknesses, allowing you to make an informed decision about which AI language model best suits your needs. We greatly appreciate the effort put into reviewing the report and providing valuable insights. Check out the table below for a side-by-side comparison of GPT-3.5 and GPT-4.
In this video above, the speaker discusses the release of GPT-4, its technical report, and some key takeaways:
- GPT-4 powers Bing, with a 15-message limit per conversation.
- Context length has doubled from ChatGPT, allowing more text input.
- OpenAI will not reveal model size, parameter count, or training methods due to competition and safety concerns.
- GPT-4 performs much better on various tests, including the bar exam, but some other exams show less improvement.
- GPT-4 demonstrates a more nuanced understanding of the world, particularly in tasks involving hindsight bias.
- GPT-4's responses were preferred only 70% of the time over GPT-3.5.
- GPT-4 performs better in many languages but is still best in English.
- While GPT-4 is multimodal, image inputs are currently only in research preview.
- GPT-4 excels in understanding and digesting infographics.
- Factual accuracy has improved, peaking between 75 and 80%.
- The pre-training data still cuts off at the end of 2021.
- GPT-4 can generate realistic, targeted disinformation and propaganda.
- There is evidence of emergent behavior in models, including power-seeking behavior.
- OpenAI tested GPT-4 for its ability to make money, set up copies of itself, and increase its own robustness.
- Some members of the red team raised concerns about GPT-4's deployment.
- Several companies and organizations are already using GPT-4, including Morgan Stanley, Khan Academy, and the government of Iceland.
GPT-4 demonstrates impressive performance on academic and professional exams
The model's capabilities mainly stem from the pre-training process, and Reinforcement Learning from Human Feedback (RLHF) doesn't significantly impact its performance. When assessed on traditional language model benchmarks, GPT-4 considerably outperforms existing language models and previous state-of-the-art systems. These results highlight the remarkable advancements in GPT-4's capabilities compared to earlier versions.
