GPT-3.5 vs GPT-4 – A Comparison of Key Differences

GPT-3.5 vs GPT-4

As advancements in artificial intelligence continue to reshape our world, OpenAI’s GPT-3.5 and GPT-4 have emerged as powerful language models with unique capabilities.

In the following, we will take a look into the key differences between GPT-3.5 and GPT-4, exploring their advancements in creativity, image processing, safer responses, factuality, and context window. Let’s discover how these models have evolved and what they offer.

1. Image or Visual Inputs

Unlike GPT-3.5, which only accepts text prompts, GPT-4 is a multi-modal model capable of processing both text and visual inputs. This means that GPT-4 can understand and describe images, whether it’s a handwritten math problem or a screenshot of a Discord server. 

Furthermore, GPT-4 can even generate working code based on hand-drawn mockups, bridging the gap between visual and textual domains.

2. Creativity

GPT-4 takes creativity to new heights compared to GPT-3.5. While GPT-3.5 already showcased impressive creativity, GPT-4 surpasses it, especially in challenging tasks that demand a higher level of creative thinking. 

For instance, when asked to write a poem with alternating lines in English and French, GPT-4 excels by using both languages in every line, while GPT-3.5 alternates between languages.

3. Safer Responses

GPT-4 introduces significant improvements in terms of providing safer responses compared to GPT-3.5. OpenAI has integrated safety measures directly into the GPT-4 model, reducing toxic responses to only 0.73% compared to GPT-3.5’s 6.48%. 

By addressing safety at the model level, GPT-4 enhances user experience and ensures more responsible AI-generated interactions.

4. Factuality of Response

While GPT-3.5 was known to sometimes produce nonsensical or untruthful information, GPT-4 tackles this issue with an improved track record. According to the technical report, GPT-4 demonstrates a 19% to 29% decrease in the likelihood of generating false information compared to GPT-3.5. 

Users can expect more factual and reliable responses from GPT-4, instilling greater confidence in the AI-generated content.

5. Context Window

GPT-4 boasts a superior context window and size, setting it apart from GPT-3.5. The context window refers to the amount of data the model can retain during a conversation, allowing for better memory and comprehension of instructions. 

GPT-4 performs admirably in maintaining context throughout a conversation, minimizing off-topic responses and ensuring a smoother interaction experience. Additionally, GPT-4’s improved context length accommodates summarizing long texts without the need for chunking.

Wrap Up

GPT-4 represents a significant leap forward from GPT-3.5, showcasing advancements in creativity, image processing, safer responses, factuality, and context window. While GPT-3.5 was already a powerful language model, GPT-4 further refines its capabilities, providing more reliable and contextually accurate responses.

Both GPT-3.5 and GPT-4 offer unique benefits and contribute to the ongoing development of AI language models, pushing the boundaries of what is possible in natural language understanding.