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The Difference Between ChatGPT 3.5 and 4
OpenAI's ChatGPT, the language model renowned for its conversational abilities, has undergone significant updates with the release of ChatGPT 4. The latest version introduces numerous improvements and addresses some limitations present in ChatGPT 3.5. In this article, we will explore these differences and understand how ChatGPT 4 marks a milestone in natural language processing.
ChatGPT 3.5, released in May 2021, showcased substantial advancements over its predecessor. It demonstrated enhanced context understanding, generated more coherent responses, and showcased the ability to provide explanations when uncertain. However, despite these improvements, limitations still existed. It would sometimes produce incorrect or nonsensical answers, be overly verbose, and exhibit an over-reliance on plausible-sounding but incorrect information. OpenAI realized the need for further advancements to push the boundaries of the conversational AI system.
With the release of ChatGPT 4, OpenAI has made significant progress in addressing these limitations. The first crucial difference lies in the model's capabilities when it comes to understanding and generating explanations. ChatGPT 4 is more cautious and honest about its answers when it is uncertain. It now produces disclaimers and prompts for clarifying questions when it encounters ambiguous queries. This helps to avoid situations where users might be misled by incorrect or incomplete responses.
The second notable difference lies in ChatGPT 4's ability to provide more accurate information. OpenAI employed a method called reinforcement learning from human feedback (RLHF) to fine-tune the model and make it more reliable. Prior to the release, an initial model, ChatGPT 4.0, was created and used to collect comparison data. Human AI trainers ranked multiple model responses based on their quality, and this data was then used to fine-tune ChatGPT 4. The iterative process involving ranking and fine-tuning resulted in a higher-performing model. As a result, ChatGPT 4 exhibits superior factuality and provides more accurate answers compared to its predecessor.
Another significant enhancement in ChatGPT 4 is reduced verbosity. While ChatGPT 3.5 could be excessively wordy and overuse certain phrases, the latest version demonstrates improvements in generating concise and to-the-point responses. This refinement ensures that the model provides information in a more coherent and less repetitive manner, enhancing the overall user experience.
OpenAI has also implemented an upgrade to ChatGPT's underlying technology, transitioning from supervised fine-tuning to a dataset with demonstrations and comparisons. Prior to ChatGPT 4, supervised fine-tuning involved training the model on conversations where human AI trainers played both sides — the user and an AI assistant. However, in the new dataset, trainers use model-written suggestions to compose responses, rank those responses, and provide alternatives. This approach allows the model to learn from a more diverse range of examples and improves its overall understanding of different conversational scenarios.
The dataset used to train ChatGPT 4 has also been expanded significantly. OpenAI collected a plethora of conversations where human trainers took turns playing the role of user and AI assistant. By curating and including this extensive dataset, ChatGPT 4 gains insights from a broader array of dialogues, enabling it to handle a wide range of topics and converse more effectively.
Furthermore, OpenAI has introduced enhancements to ChatGPT's default behavior. They have made efforts to ensure that ChatGPT refuses inappropriate requests and actively seeks clarifications when prompted with potentially harmful or unethical instructions. ChatGPT 4 also emphasizes the importance of user feedback and actively asks for it in situations where it might have provided a questionable response. Such measures highlight OpenAI's commitment to improving safety and reducing potential risks associated with the system.
While these improvements are undoubtedly commendable, it is essential to acknowledge that challenges and limitations persist. ChatGPT 4 may still produce incorrect or nonsensical answers, may not always ask clarifying questions when it should, or might not fulfill complex user requests. OpenAI acknowledges the need for ongoing research and development in this field and actively seeks user feedback to gain insights and refine their models further.
In conclusion, ChatGPT 4 represents a significant leap forward in conversational AI. With improvements in context understanding, generating explanations, factuality, reduced verbosity, and default behavior, OpenAI has addressed several limitations present in ChatGPT 3.5. By leveraging reinforcement learning from human feedback and a more diverse dataset, ChatGPT 4 provides more accurate and coherent responses. While there are still challenges to overcome, OpenAI's commitment to progress and safety is evident. ChatGPT 4 paves the way for even more advanced language models, pushing the boundaries of what conversational AI can achieve.