GPT-4: What's different?

ChatGPT 4 has generated significant buzz since its release on March 4, with many discussions focusing on how it differs from its predecessor, ChatGPT 3. While ChatGPT 4 is not yet widely available to the public and is a paid version unlike its predecessor, there is enough information in the public domain to make an initial comparison.

Based on more training data

GPT 3.5 was trained on data that ultimately gave it the ability to consider 175 billion parameters depending on the prompt it receives. That gave it some impressive linguistic abilities, and let it respond to queries in a very humanlike fashion. However, GPT-4 is based on a lot more training data, and is ultimately able to consider over 1 trillion parameters when making its responses. GPT-4 was also trained through human and AI feedback for a further six months beyond that of GPT-3.5, so it has had many more corrections and suggestions on how it can improve.

More than just text

GPT-4 is not just a text-based language model anymore. It can now process images and answer logical questions related to them. It can even recognize the humor in unusual images, summarize the text in screenshots, and provide accurate answers to exam questions that contain diagrams. Thus, GPT-4's multi-modal capabilities have unlocked a new language processing dimension.

More current in its responses

GPT-4 boasts an updated training dataset. While GTP-3.5 was confined to data up until June 2021, GPT-4 was trained on a dataset that extends up to September 2021, with some hand-picked information beyond that period. This endows GPT-4 with a more current and relevant understanding of contextual information, augmenting its ability to produce responses that reflect the latest developments and events. With a training dataset that encompasses more recent information, GPT-4 is poised to offer superior performance and precision in natural language generation tasks.

More text processing

GPT-4 has significantly enhanced its text processing capacity, enabling it to handle nearly 50 pages of text, a vast improvement over its predecessor, GPT-3.5, which was limited to processing only 7 pages. As a result, if you prompt GPT-4 to write a story based on a provided description, it can generate up to 7 times more text than GPT-3.5 or recall 49 pages from a prior conversation. This impressive expansion in text processing capability signifies a considerable stride in natural language generation technology and promises to streamline various language-related tasks.

Easier coding

GPT-4 has transcended its previous capabilities of processing text and images, and now boasts an extraordinary skill set. Users can now draft website layouts on napkin paper or any other surface and prompt the model to transform them into fully functional websites. This is due to GPT-4's advancement in its ability to decipher and interpret handwritten scribbles, and convert them into machine-readable code. GPT-4's unparalleled capacity to transform informal and non-digital inputs into functional digital outputs presents exciting opportunities for web developers and designers, as it can reduce the time and effort needed to build complex web applications.

Improved accuracy

Generative AI tools are designed to streamline tasks and augment productivity. For instance, if you are a blogger, AI tools such as ChatGPT3 can aid in generating content ideas, outlines, and factual information. However, ChatGPT 3 was marred by inaccuracies, which could result in errors and complications. In contrast, GPT-4 is trained on a vastly expanded database, leading to a significant improvement in its accuracy. OpenAI has reported a 42% increase in accuracy for GPT-4 when compared to its predecessor, GPT-3. With its superior accuracy, GPT-4 has the potential to revolutionize the way we leverage generative AI tools to accomplish various tasks with greater efficiency and precision.

Safer than GPT-3

Apart from its enhanced accuracy, GPT-4 also offers a heightened level of safety, which refers to its non-discriminatory, non-racial, and consistent responses in line with the general ethical standards of conversations. Unlike ChatGPT 3, which learned from new data every day, GPT-4 is pre-configured with robust ethical standards from the outset. GPT-4 has shown an 82% decrease in producing prohibited content and a 40% increase in generating factual responses, in comparison to GPT-3.

Moreover, GPT-4 incorporates a multitude of new safeguards that OpenAI has implemented to minimize the likelihood of delivering harmful or illegal responses. These measures further enhance the safety of using GPT-4 for generating natural language responses, while aligning with ethical standards and promoting responsible use of AI technology.

Smarter Than GPT-3

GPT-4's exceptional performance across several benchmark exams distinguishes it from other language models currently available. Notably, GPT-4 achieved a score of 1410 on the SAT (94th percentile), 163 on the LSAT (88th percentile), and 298 on the Uniform Bar Exam (90th percentile). In contrast, OpenAI states that GPT-3.5 scored in the 82nd, 40th, and 10th percentiles, respectively, highlighting the significant improvements achieved by GPT-4. GPT-4's outstanding performance across diverse exams reinforces its superiority in natural language processing and positions it as a leading language model for various language-related tasks.

Understands context

It is not uncommon for both ChatGPT 3 and ChatGPT 4 to provide suboptimal responses. In such cases, users can provide updated prompts while expecting the model to retain the conversation's context. ChatGPT 4 is capable of retaining the context of conversations for a more extended period than its predecessor. It can store more information from chats, enabling it to generate improved responses based on the conversation.

Less dependent on good prompting

GPT-4 represents a significant improvement over its predecessor, GPT-3.5, in terms of its ability to comprehend user intent and generate natural language responses with minimal dependence on well-crafted prompts. Moreover, GPT-4's improved contextual comprehension and expanded text processing capacity enable it to generate accurate and insightful responses that align more closely with the user's intent, reducing the need for repetitive prompting.

Understands images

GPT-3.5 is predominantly a text-based tool, whereas GPT-4 exhibits a remarkable capability to comprehend images. With GPT-4, users can input an image and expect the model to provide a comprehensive description of its contents, context, and offer suggestions based on the visual input. This has led to innovative uses of GPT-4, such as generating recipe ideas based on pictures of the fridge or coding a website based on a quick sketch. The model's ability to comprehend images enables a more intuitive and seamless interaction with the AI tool, broadening its applications and potential uses.

More linguistic finesse

While GPT-3.5 is quite capable of generating human-like text, GPT-4 has an even greater ability to understand and generate different dialects and respond to emotions expressed in the text. For example, GPT-4 can recognize and respond sensitively to a user expressing sadness or frustration, making the interaction feel more personal and genuine.

As well, GPT-4 can?interact in?Spanish, Latvian, German, Russian, Turkish, Icelandic, Thai, Korean, Afrikaans, French, Mandarin, Punjabi, Hindi, Urdu, Greek, Swahili, Welsh, Polish,?Greek?and Nepali to name a few languages, with better accuracy?than?GPT-3.5.

Works with dialects

One of the most impressive aspects of GPT-4 is its ability to work with dialects, which are regional or cultural variations of a language. Dialects can be extremely difficult for language models to understand, as they often have unique vocabulary, grammar, and pronunciation that may not be present in the standard language. However, GPT-4 has been specifically designed to overcome these challenges and can accurately generate and interpret text in various dialects.

Better information synthesis

GPT-4 exhibits a remarkable ability to answer complex questions by synthesizing information from multiple sources, surpassing the capabilities of GPT-3.5, which may struggle to connect the dots between disparate pieces of information. This makes GPT-4 better equipped to comprehend prompts with multiple factors to consider, allowing users to approach a topic from multiple angles or incorporate various sources of information into their response.

This enhanced capability is also evident in GPT-4's creative output, where it can generate an original story with greater coherence and believability than its predecessor. In contrast, GPT-3.5 may lose the thread of the story halfway through or provide nonsensical suggestions for characters that defy the laws of physics or canon.

Can cite sources

One of the notable features of GPT-4 is its ability to cite sources correctly when generating text. This means that when the model generates content, it includes references to the sources it has utilized, making it easier for readers to verify the accuracy of the information presented. This feature represents a significant advancement in natural language generation technology, addressing concerns around misinformation and promoting responsible use of AI-generated content.

More creative

GPT-4 surpasses its predecessor, GPT-3.5, in generating creative content by producing stories, poems, or essays with enhanced coherence and creativity. With its superior natural language processing capabilities, GPT-4 can generate a short story with a well-developed plot and character development, ensuring consistency and coherence in the narrative. In contrast, GPT-3.5 sometimes struggles to maintain these essential storytelling elements, leading to inconsistencies and fragmented narratives.

Less bias

While both GPT-3 and GPT-4 face challenges about bias in AI language models, GPT-4 demonstrates a superior ability to produce unbiased and non-offensive responses. OpenAI has devoted more effort and resources to implementing safeguards in GPT-4, reducing the likelihood of biased or offensive answers. Though not entirely impervious to such issues, GPT-4 is less likely than its predecessor, GPT-3.5, to generate fictitious or factually inaccurate responses, demonstrating its superior accuracy and reliability.

For example, GPT-4 is less likely to generate politically biased, offensive, or harmful content, making it a more trustworthy AI companion than GPT-3.5.

More complex problem-solving

GPT-4 represents a significant advancement over GPT-3.5 in handling complex mathematical and scientific problems, demonstrating superior problem-solving skills. For instance, GPT-4 can effectively solve advanced calculus problems and simulate complex chemical reactions, surpassing the capabilities of its predecessor. GPT-4's enhanced ability to understand and process complex mathematical and scientific concepts is evident in its proficiency in handling various mathematical operations such as calculus, algebra, and geometry.

Furthermore, GPT-4's advanced language modeling capabilities enable it to comprehend and analyze scientific texts with ease, providing insights and explanations on complex scientific subjects such as physics, chemistry, biology, and astronomy.

Limitations

Although GPT-4 represents a significant leap forward in natural language generation technology, it is not perfect and has limitations similar to earlier GPT models.

GPT-4's predictive accuracy is not absolute and its outputs may contain false information. It is still susceptible to reasoning errors and has been observed to produce "hallucinated" facts. As such, caution must be exercised when utilizing its outputs, especially in high-stakes situations.

The broader context window and enhanced understanding of GPT-4 come with a trade-off in response time. Whereas GPT-3.5 can generate responses in a matter of seconds, GPT-4 may take longer to produce more extensive outputs, sometimes requiring over a minute.

While GPT-4 is marginally better than its predecessor, GPT-3, it is still susceptible to perpetuating bias. Therefore, responsible and ethical use of AI-generated content remains paramount.

How can you use GPT 3.5 and GPT-4?

GPT-3.5 is readily accessible through the OpenAI website, included as part of the ChatGPT service. To access it, users must create an account, but this service is entirely free of charge. As long as the servers are not overwhelmed, users can converse with ChatGPT to their heart's content. GPT-3.5 is also integrated into various chatbots across different platforms and services.

In contrast, GPT-4 is not as easily obtainable. The OpenAI website provides access to GPT-4 through its ChatGPT Plus subscription, which costs $20 per month. Subscribers gain priority access to ChatGPT and GPT-4, ensuring that they are never too busy to converse. Other options to use GPT-4 for free are available, such as Bing Chat. However, these sources may have a limited number of questions or may not always use GPT-4 due to its restricted availability.

Conclusion

The arrival of GPT-4 signifies a significant breakthrough in AI language models with its exceptional multi-modal capabilities, improved precision, and capacity to comprehend handwritten inputs. Despite being an emerging technology, GPT-4 faces some obstacles, including the possibility of bias, hallucination, and requiring human supervision.

Despite these challenges, GPT-4 establishes a new benchmark for language processing and lays the foundation for even more extraordinary advancements in the future. Only time will tell, but one thing is certain: the prospects for AI appear brighter than ever.

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