Introduction to ChatGPT 4.0 Features, Pricing, Upgrades, Differences from 3.5, Multimodal Models, Auditory, Tactile, Olfactory, and Other Sensory Systems
Introduction to ChatGPT 4.0 Features, Pricing, Upgrades, Differences from 3.5, Multimodal Models, Auditory, Tactile, Olfactory, and Other Sensory Systems

Not long ago, ChatGPT’s paid users gained the ability to switch between the GPT-3.5 and GPT-4 models. What’s even more exciting is that some users have started utilizing ChatGPT’s plugins, which allow AI to browse external webpages, search for the latest market trading data, and more. How can you make use of ChatGPT 4.0? What makes GPT-4 superior to GPT-3.5? This article will guide you through all the details.

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ChatGPT 4.0 price

OpenAI allows ChatGPT Plus subscribers to have priority access to the GPT-4-powered question-answering feature on the ChatGPT website. In practical usage, GPT-4 performs slightly slower than GPT-3.5 when executing tasks such as translation, but it delivers better results. Subscribed users can choose which version they prefer to use. However, if you want to enable the internet browsing and plugin functionality mentioned above, you must select the GPT-4 version.

Additionally, Microsoft has integrated GPT-4 into their own search engine, Bing. This means you can also utilize Bing’s Copilot chat service as a free alternative to using GPT-4. As for the GPT-4 API, OpenAI has opened a waitlist form, and in the future, users will be able to pay based on the number of API calls they make. In the conclusion of the article, OpenAI expresses their anticipation for GPT-4 to become an essential tool for improving people’s lives, and they will continue to enhance this model.

Introduction to ChatGPT 4.0
【Introduction to ChatGPT 4.0】

Latest applications of GPT-4

The American nonprofit educational institution Khan Academy has announced the launch of “Khanmigo,” an online tutoring platform built on top of GPT-4. Students can learn various subjects through this platform. Leveraging the capabilities of the GPT-4 large language model, Khanmigo is able to generate clever text-based conversations with a certain level of creativity. Additionally, Khan Academy has ingeniously designed different activities for learning, such as engaging in thoughtful discussions with teachers on specific topics, conversing with characters from books or historical figures, and completing exercises.

Morgan Stanley, on the other hand, has utilized the knowledge and insights accumulated in their internal wealth management to feed the GPT-4 model. They have developed an AI financial advisor that leverages the model’s vast knowledge base. When users interact with the AI advisor by asking questions, it searches for the correct answers within its extensive knowledge repository, providing professional financial guidance.

Upgrades in GPT-4 compared to GPT-3.5

Compared to its predecessor, GPT-3.5, GPT-4 has improved in terms of speed, performance, accuracy, ethics, and customization according to user needs. Although it still has limitations, such as occasionally generating false information, making reasoning errors, and being deceived by users’ false statements, GPT-4’s safety has been enhanced through tuning by OpenAI. It has made progress in handling sensitive queries, such as weapon manufacturing or medical consultations, as well as generating problematic code or harmful suggestions.

OpenAI notes that for casual conversation, there isn’t a significant difference between GPT-4 and previous models. However, when faced with complex tasks, the remarkable capabilities of GPT-4 become evident. In answering questions from Olympiad and Advanced Placement exams, GPT-4 significantly outperforms GPT-3.5.

For example, in the Uniform Bar Exam, GPT-3.5 achieves a PR (Precision and Recall) value of approximately 10, while GPT-4 achieves an impressive PR value of 90. Similarly, in the Law School Admission Test (LSAT), GPT-3.5 achieves a PR of 40, while GPT-4 achieves a PR of 88. Even in languages other than English, GPT-4 outperforms GPT-3.5 as well as DeepMind’s Chinchilla and Google’s PaLM models. Additionally, Isaac Kohane, a physician and computer scientist, observed that in practical tests, the new version of ChatGPT powered by GPT-4 could correctly answer over 90% of questions in the United States Medical Licensing Exam, and even diagnose diseases with a prevalence rate as low as one in a hundred thousand.

In addition to improved performance, OpenAI has enhanced the controllability or steerability of GPT-4. With the commonly used ChatGPT, which is typically polite and well-mannered in its responses, users can now specify the desired style for their ChatGPT interactions. For example, by requesting a Socratic-style ChatGPT, the system focuses on guiding the conversation without directly providing answers.

Upgrades in GPT-4 compared to GPT-3.5
【Upgrades in GPT-4 compared to GPT-3.5】

New Image Captioning Feature of GPT-4

In the past, GPT models could only process text inputs. However, the most astonishing feature of GPT-4 is its ability to not only comprehend textual instructions but also “understand” images.

New Image Captioning Feature of GPT-4
【New Image Captioning Feature of GPT-4】

The capability to “understand” images means that users can present images to the model for interpretation. Whether it’s the common task of writing an essay based on a given image, explaining a situation based on a chart, categorizing and naming photos in daily life, or labeling image assets in professional settings, GPT-4 handles them all effortlessly.

MultiModel and Autonomy of AI ChatGPT

So, what is a MultiModel? In fact, OpenAI has previously introduced similar technology called CLIP (Contrastive Language-Image Pre-Training), which is also a multi-modal pre-training model. CLIP can automatically distinguish differences between images, even without textual labels. Users can input text to search for desired photos, effectively integrating two different data types: text and images. OpenAI’s DALL·E 2, a text-to-image generation model similar to Midjourney, also utilizes CLIP’s techniques.

Douglas Eck, the Research Director at Google Brain specializing in deep learning, has also stated that multi-modal AI models will bring about the latest breakthroughs. Raia Hadsell, the Research Director at DeepMind, is also excited about multi-modal models, going so far as to predict a future where AI models can freely explore, possess autonomy, and interact with their environment.

Of course, GPT-4 currently only possesses the ability to understand images and text. Additionally, its outputs are limited to text. However, OpenAI has long offered image generation services. Whether they choose to integrate them into the new version of GPT-4 is simply a strategic decision on the part of OpenAI—whether to do it or not.

MultiModel and Autonomy of AI ChatGPT
【MultiModel and Autonomy of AI ChatGPT】

Auditory abilities and potentially even olfactory and tactile senses

However, the impressive advancements don’t stop there. Currently, GPT-4 has made progress from working with text to processing images. The next step could be incorporating sound, as OpenAI has been actively exploring music generation. If the development continues to evolve from two-dimensional to three-dimensional data, such as touch or smell, the future GPT models will be capable of “understanding” different types of sensory information. This expansion of capabilities will enable them to tackle more complex and diverse tasks, further integrating into various aspects of human life.

GPT-4 Deficiencies

Although GPT-4 has seen performance improvements, OpenAI acknowledges that it still faces some challenges that cannot be completely overcome. It still generates misinformation and exhibits biases in its generated text. Additionally, like its predecessors, GPT-4 lacks awareness of events that occurred after its training data, which only goes up until September 2021.

Even in simple reasoning tasks, GPT-4 occasionally makes errors. It can be easily fooled by deliberate false narratives, and there is a chance it may provide incorrect answers to factual questions. Fortunately, internal testing has shown significant improvements in the accuracy of GPT-4’s correct responses.

OpenAI emphasizes that they have made efforts to prioritize the safety of the model during its development. They have sought the assistance of experts to test the model’s applications in specific domains such as cybersecurity, biorisk, and international security to prevent potential risks associated with its responses. Furthermore, they have explicitly defined directions for reducing harmful content generation during the training process, such as avoiding answers related to self-harm, weapon production, and threats to physical health.

However, determined individuals can still find ways to bypass these restrictions, and OpenAI is actively working on various methods to minimize user attempts to “break out” or circumvent the model’s guidelines.

🙋‍♂️ How to use ChatGPT ? Latest Information

🔖 upgrade、app、api、plus、alternative、login、download、sign up、website、stock

最後修改日期: 25 5 月, 2023

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