What is ChatGPT4 ? Conversational AI refers to the branch of artificial intelligence dedicated to establishing natural and captivating interactions between humans and machines through the use of natural language. Conversational AI systems can be used for various purposes, such as customer service, education, entertainment, productivity, and more. One of the most advanced and powerful conversational AI systems is Chat GPT4, a product of OpenAI, a research organization dedicated to creating and ensuring the safe and beneficial use of artificial intelligence for humanity. ChatGPT4 is based on GPT-4, a deep learning model that can generate natural language texts and images from any given prompt.
GPT-4 is the successor of GPT-3.5, which was already considered a breakthrough in natural language processing. In this article, we will explore what ChatGPT4 is, how it works, how much it costs, what it can do, and how it can be used in real-world applications.
In This Article
What is ChatGPT4 ?
ChatGPT4 is a free-to-use AI system that allows users to interact with GPT-4 in a chat interface. Users can type in any prompt or query, and ChatGPT4 will respond with a relevant and coherent text or image. ChatGPT4 can also generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.
ChatGPT4 is the result of OpenAI’s continuous effort to scale up deep learning and improve the safety and alignment of AI systems. Chat GPT4 is more accurate, creative, and collaborative than its predecessor, GPT-3.5, thanks to its broader general knowledge and problem-solving abilities. Chat GPT4 demonstrates an 82% reduced likelihood of generating responses that involve disallowed content and a 40% increased likelihood of providing factual responses compared to GPT-3.5, as observed in OpenAI’s internal evaluations.
How Much Does ChatGPT4 Cost?
ChatGPT4 is currently free to use for anyone who signs up on the ChatGPT website. However, OpenAI plans to introduce a pricing model for Chat GPT4 in the future, based on the usage and the complexity of the requests. OpenAI aims to make ChatGPT4 accessible and affordable to a wide range of users, from individuals to organizations, while ensuring the sustainability and quality of the service.
OpenAI also offers a paid subscription to access GPT-4 directly through an API, which allows users to integrate GPT-4 into their own applications and platforms. The pricing for the GPT-4 API is based on the number of tokens (words or characters) generated or processed by the model. The current pricing ranges from $0.06 to $0.12 per 1,000 tokens, depending on the plan and the model size.
What can Chat GPT4 do?
Chat GPT4 has enhanced capabilities in natural language understanding, context retention, and generation of more coherent and contextually relevant responses. ChatGPT4 can also handle visual input, such as images, and generate appropriate texts or images based on the prompt. ChatGPT4 can also follow instructions, answer questions, and solve problems across various domains and tasks.
Some of the new features that set Chat GPT4 apart from GPT-3.5 are:
- Creativity:
ChatGPT4 can generate original and diverse texts and images for various creative purposes, such as writing poems, stories, songs, jokes, slogans, etc. ChatGPT4 can also mimic the style and tone of different authors, celebrities, or genres. - Collaboration:
ChatGPT4 can work with users on writing tasks, such as editing, improving, or optimizing their content. ChatGPT4 can also provide feedback, suggestions, and ideas to users, and learn from their preferences and feedback. - Accuracy:
ChatGPT4 can produce more factual and reliable responses than GPT-3.5, thanks to its improved knowledge base and reasoning skills. ChatGPT4 can also verify the accuracy of its own or other sources’ information, and provide citations and references when needed.
How can Chat GPT4 be used in real-world applications?
ChatGPT4 can be used in various real-world scenarios, such as:
- Customer service:
ChatGPT4 can provide fast and friendly customer support, answer FAQs, handle complaints, and resolve issues. ChatGPT4 can also personalize the interaction based on the customer’s profile, preferences, and history. - Education:
ChatGPT4 can provide interactive and adaptive learning experiences, such as tutoring, coaching, mentoring, and testing. ChatGPT4 can also generate educational content, such as lessons, quizzes, exercises, and feedback. - Entertainment:
ChatGPT4 can provide fun and engaging entertainment, such as games, stories, jokes, trivia, and more. ChatGPT4 can also create personalized and immersive content, such as characters, dialogues, and scenarios.
Productivity:
ChatGPT4 can help users with various tasks, such as writing, researching, summarizing, planning, organizing, and more. ChatGPT4 can also automate repetitive and tedious tasks, such as data entry, reporting, scheduling, and more.
OpenAI has collaborated with several organizations that are building innovative products and services with ChatGPT4 or GPT-4, such as:
- Duolingo:
Duolingo uses ChatGPT4 to deepen the conversation on its language learning app. ChatGPT4 can provide realistic and natural dialogues, feedback, and corrections to learners, and adapt to their level and progress. - Be My Eyes:
Be My Eyes uses ChatGPT4 to transform visual accessibility for blind and low-vision people. ChatGPT4 can describe images, objects, and scenes, and provide guidance and assistance to users. - Stripe:
Stripe utilizes ChatGPT4 to enhance user experience and enhance fraud detection on its online payment platform. ChatGPT4 can generate clear and concise instructions, explanations, and notifications, and detect and prevent fraudulent transactions and activities. - Morgan Stanley:
Morgan Stanley wealth management deploys ChatGPT4 to organize its vast knowledge base and provide relevant and timely information to its clients and advisors. ChatGPT4 can answer complex financial questions, generate insights and recommendations, and create personalized reports and portfolios. - Khan Academy:
Khan Academy is testing the capabilities of ChatGPT4 through a restricted pilot program to improve its online education platform. ChatGPT4 can create engaging and interactive content, such as videos, articles, and exercises, and provide feedback and support to learners and teachers. - Government of Iceland:
The government of Iceland is using ChatGPT4 to preserve its language and culture. ChatGPT4 can translate texts and speech from and to Icelandic, and generate texts and speech in Icelandic for various purposes, such as news, education, and entertainment.
ChatGPT4 vs. GPT-3.5: What’s New and What’s Next?
ChatGPT4 is the latest and most advanced conversational AI system from OpenAI, a research organization dedicated to creating and ensuring the safe and beneficial use of artificial intelligence for humanity. ChatGPT4 is based on GPT-4, a deep learning model that can generate natural language texts and images from any given prompt. GPT-4 is the successor of GPT-3.5, which was already considered a breakthrough in natural language processing.
In this article, we will compare the key differences between ChatGPT4 and GPT-3.5, and explore how ChatGPT4 works, what it can do, and how it can be used in real-world applications. We will also discuss the latest updates and developments related to ChatGPT4, and what to expect from the future of conversational AI.
ChatGPT4 vs. GPT-3.5: What are the key differences?
GPT-4 and GPT-3.5 are both based on the same neural network architecture, called Transformer, which consists of multiple layers of attention mechanisms that can learn the relationships and dependencies between words and characters in a text. However, GPT-4 is much larger and more powerful than GPT-3.5, thanks to its increased number of parameters, layers, and training data.
GPT-4 has 1.5 trillion parameters, which are the weights or coefficients that determine how the model processes the input and generates the output. GPT-3.5, on the other hand, has 175 billion parameters, which means that GPT-4 is about 8.6 times larger than GPT-3.5. The number of parameters is an indicator of the model’s capacity and complexity, as well as its potential to learn and generate diverse and accurate texts and images.
GPT-4 also has 96 layers, which are the building blocks of the neural network that perform different computations and transformations on the input and output. GPT-3.5, on the other hand, has 96 layers, which means that GPT-4 has the same number of layers as GPT-3.5. However, the layers in GPT-4 are more efficient and optimized than the layers in GPT-3.5, thanks to the use of sparse attention and reversible residual connections.
Sparse attention is a technique that allows the model to focus on only the most relevant parts of the input and output, rather than the whole sequence, which reduces the computational cost and memory usage. Reversible residual connections are a technique that allows the model to reuse the intermediate outputs of the previous layers, rather than discarding them, which saves the memory and enables the model to go deeper.
GPT-4 also has more and better training data than GPT-3.5, which are the texts and images that the model learns from and generates based on. GPT-4 was trained on 45 terabytes of data, which is equivalent to about 45,000 gigabytes or 45 million megabytes. GPT-3.5, on the other hand, was trained on 45 terabytes of data, which means that GPT-4 and GPT-3.5 have the same amount of data.
However, the data in GPT-4 are more diverse and high-quality than the data in GPT-3.5, thanks to the use of dynamic data selection and data cleaning. Dynamic data selection is a technique that allows the model to choose the most relevant and useful data for each task, rather than using the same data for all tasks, which improves the model’s performance and generalization. Data cleaning is a technique that allows the model to filter out the noisy, redundant, or harmful data, such as spam, duplicates, or offensive content, which improves the model’s accuracy and safety.
These are some of the key differences between GPT-4 and GPT-3.5, which make GPT-4 more powerful, efficient, and versatile than GPT-3.5. However, these are not the only differences, as GPT-4 also introduces some novel functionalities and features that set it apart from GPT-3.5, such as:
- Image generation:
GPT- 4 can generate realistic and diverse images from any text prompt, such as descriptions, captions, or keywords. GPT- 4 can also generate texts from images, such as labels, summaries, or stories. GPT-4 can also combine texts and images, such as creating memes, comics, or logos. GPT-3.5, on the other hand, can only generate texts from texts, and cannot handle images at all. - Multimodality:
GPT-4 can handle multiple modalities, such as texts, images, audio, video, or code, and generate outputs in any of these modalities. GPT-4 can also mix and match different modalities, such as creating videos from texts, or code from images. GPT-3.5, on the other hand, can only handle texts, and cannot generate outputs in other modalities. - Multilingualism:
GPT-4 can handle multiple languages, such as English, 中文, 日本語, Español, Français, Deutsch, and others, and generate outputs in any of these languages. GPT-4 can also translate between different languages, or generate texts in multiple languages at once. GPT-3.5, on the other hand, can only handle English, and cannot generate outputs in other languages.
These are some of the novel functionalities and features that GPT-4 introduces, which make GPT-4 more creative, flexible, and adaptable than GPT-3.5. However, these are not the only functionalities and features, as GPT-4 also improves and enhances some of the existing functionalities and features that GPT-3.5 already has, such as:
- Natural language understanding:
GPT-4 can understand natural language better than GPT-3.5, thanks to its improved knowledge base and reasoning skills. GPT-4 can answer complex questions, verify facts, provide citations, and handle ambiguity, negation, and sarcasm. GPT-3.5, on the other hand, can answer simple questions, but often struggles with accuracy, reliability, and consistency. - Context retention:
GPT-4 can retain context longer and better than GPT-3.5, thanks to its increased memory and attention span. GPT-4 can remember previous conversations, follow instructions, and generate coherent and relevant responses. GPT-3.5, on the other hand, can retain context for a short while, but often forgets or repeats information, and generates incoherent and irrelevant responses. - Safety and alignment:
GPT-4 can handle safety and alignment issues better than GPT-3.5, thanks to its improved data cleaning and dynamic data selection. GPT-4 can filter out harmful, offensive, or inappropriate content, and generate safe and aligned responses. GPT-3.5, on the other hand, can generate harmful, offensive, or inappropriate content, and generate unsafe and misaligned responses.
These are some of the improved and enhanced functionalities and features that GPT-4 has, which make GPT-4 more accurate, reliable, and trustworthy than GPT-3.5. However, these are not the only functionalities and features, as GPT-4 also has some unique and exclusive functionalities and features that GPT-3.5 does not have at all, such as:
- Collaboration:
GPT-4 can collaborate with users on various tasks, such as writing, editing, improving, or optimizing their content. GPT-4 can also provide feedback, suggestions, and ideas to users, and learn from their preferences and feedback. GPT-3.5, on the other hand, can only generate content for users, but cannot collaborate with them or learn from them. - Personalization:
GPT-4 can personalize the interaction based on the user’s profile, preferences, and history. GPT-4 can also mimic the style and tone of different authors, celebrities, or genres. GPT-3.5, on the other hand, can only generate generic content for users, but cannot personalize the interaction or mimic the style and tone of others.
These are some of the unique and exclusive functionalities and features that GPT-4 has, which make GPT-4 more interactive, engaging, and fun than GPT-3.5. As you can see, GPT-4 is a significant improvement and advancement over GPT-3.5, in terms of performance, efficiency, and functionality. However, how does GPT-4 work, and what makes it so powerful and versatile? Let’s discover more in the following section.
How ChatGPT4 Works and What are its Limits?
ChatGPT4 is a conversational AI system that allows users to chat with a powerful and versatile AI model called GPT-4. ChatGPT 4 can generate natural and engaging texts and images from any prompt or query, and can also collaborate with users on various creative and technical writing tasks. ChatGPT4 is based on the latest research and development from OpenAI, a research organization dedicated to creating and ensuring the safe and beneficial use of artificial intelligence for humanity.
In this article, we will explore how ChatGPT4 works, and what are its limits. We will explain the underlying functioning mechanism of Chat GPT 4, touching upon topics such as training data, fine-tuning, and the neural network architecture. We will also discuss what happens when Chat GPT 4 reaches its maximum capacity, and how OpenAI addresses scalability challenges. We’ll also explore the implications for users, and potential strategies to optimize usage.
How does ChatGPT4 work?
ChatGPT4 works by leveraging the underlying functioning mechanism of GPT-4, which is a deep learning model that can generate natural language texts and images from any given prompt. GPT- 4 is based on a neural network architecture called Transformer, which consists of multiple layers of attention mechanisms that can learn the relationships and dependencies between words and characters in a text. GPT- 4 is trained on a large and diverse corpus of data, which includes texts and images from various sources, such as books, websites, social media, news, etc. GPT-4 learns from the data by finding patterns and associations, and builds a general knowledge base and a language model that can generate texts and images on any topic.
However, GPT-4 is not only a general model, but also a flexible and adaptable model that can be fine-tuned for specific tasks and domains. Fine-tuning is a process that involves training the model on a smaller and more focused dataset, which contains texts and images related to a particular task or domain, such as customer service, education, entertainment, etc. Fine-tuning allows the model to learn the specific vocabulary, style, and tone of the task or domain, and to generate more accurate and relevant texts and images for that task or domain.
ChatGPT4 is an example of a fine-tuned model of GPT- 4, which is trained on a dataset of conversational texts and images, such as dialogues, questions, answers, feedback, etc. ChatGPT 4 learns from the dataset how to interact with users in a natural and engaging way, and how to generate texts and images that are suitable for a conversational context. ChatGPT4 also learns from the users themselves, by collecting their inputs, outputs, preferences, and feedback, and by updating and improving its model accordingly. ChatGPT4 is therefore a dynamic and interactive model that can tailor its responses to each user and each situation.
This is how ChatGPT4 works, and what makes it so powerful and versatile. However, ChatGPT4 is not a perfect or a limitless model, and it has some challenges and limitations that need to be addressed and overcome. Let’s explore and identify what they are in the upcoming section.
What are the challenges and limitations of ChatGPT4 ?
ChatGPT4 is a remarkable and impressive conversational AI system, but it is not without its challenges and limitations. Some of the main challenges and limitations of ChatGPT4 are:
- Scalability:
ChatGPT 4 is a very large and complex model, which requires a lot of computational resources and memory to run and maintain. ChatGPT4 also has a high demand and usage, which means that it needs to handle a lot of requests and queries from a lot of users at the same time. ChatGPT4 therefore faces a scalability challenge, which is how to ensure that the model can operate smoothly and efficiently, without compromising the quality and speed of the service. - Capacity:
ChatGPT4 is a very powerful and versatile model, which can generate texts and images on any topic and any modality. ChatGPT4 also has a very large and diverse knowledge base and a language model, which can generate texts and images that are factual, coherent, and relevant. ChatGPT 4 therefore faces a capacity challenge, which is how to ensure that the model can store and access all the information and knowledge that it needs, without exceeding the limits of its memory and attention span. - Safety:
ChatGPT4 is a very creative and flexible model, which can generate texts and images that are original, diverse, and personalized. ChatGPT 4 also has a very dynamic and interactive model, which can learn from the users and adapt to their preferences and feedback. ChatGPT 4 therefore faces a safety challenge, which is how to ensure that the model can generate texts and images that are safe and aligned with the users and the society, without producing harmful, offensive, or inappropriate content.
These are some of the main challenges and limitations of ChatGPT4, which need to be addressed and overcome. However, how does OpenAI address and overcome these challenges and limitations, and what are the implications for the users and the potential strategies to optimize the usage? Let’s discover more in the following section.
How does OpenAI address and overcome the challenges and limitations of Chat ChatGPT4 ?
OpenAI is a research organization dedicated to creating and ensuring the safe and beneficial use of artificial intelligence for humanity. Open AI is also the creator and the provider of ChatGPT4, which is one of its products and services. OpenAI is therefore responsible for addressing and overcoming the challenges and limitations of ChatGPT4, and for ensuring that ChatGPT4 can operate smoothly, efficiently, and safely. Some of the ways that OpenAI addresses and overcomes the challenges and limitations of ChatGPT4 are:
- Scalability:
OpenAI addresses and overcomes the scalability challenge of ChatGPT4 by using various techniques and technologies, such as distributed computing, cloud computing, and edge computing. Distributed computing is a technique that allows the model to run on multiple devices or servers, rather than on a single device or server, which increases the computational power and reduces the workload. Cloud computing is a technology that allows the model to run on remote servers or platforms, rather than on local devices or platforms, which increases the storage space and reduces the cost. Edge computing is a technology that allows the model to run on the edge of the network, rather than on the center of the network, which increases the speed and reduces the latency. - Capacity:
OpenAI addresses and overcomes the capacity challenge of ChatGPT4 by using various techniques and technologies, such as sparse attention, reversible residual connections, and dynamic data selection. Sparse attention is a technique that allows the model to focus on only the most relevant parts of the input and output, rather than the whole sequence, which reduces the computational cost and memory usage. Reversible residual connections are a technique that allows the model to reuse the intermediate outputs of the previous layers, rather than discarding them, which saves the memory and enables the model to go deeper. Dynamic data selection is a technique that allows the model to choose the most relevant and useful data for each task, rather than using the same data for all tasks, which improves the model’s performance and generalization. - Safety:
OpenAI addresses and overcomes the safety challenge of ChatGPT4 by using various techniques and technologies, such as data cleaning, content filtering, and user feedback. Data cleaning is a technique that allows the model to filter out the noisy, redundant, or harmful data, such as spam, duplicates, or offensive content, which improves the model’s accuracy and safety. Content filtering is a technology that allows the model to detect and prevent the generation of harmful, offensive, or inappropriate content, such as hate speech, violence, or pornography, which improves the model’s safety and alignment. User feedback is a technique that allows the model to collect and analyze the users’ inputs, outputs, preferences, and feedback, and to update and improve its model accordingly, which improves the model’s safety and alignment.
What are the latest updates on Chat ChatGPT4 ?
ChatGPT4 is a conversational AI system that allows users to chat with GPT-4, the most advanced and powerful language model from OpenAI. ChatGPT 4 can generate natural and engaging texts and images from any prompt or query, and can also collaborate with users on various creative and technical writing tasks. ChatGPT4 is based on the latest research and development from OpenAI, which aims to create and ensure the safe and beneficial use of artificial intelligence for humanity.
ChatGPT4 is constantly being updated and improved by OpenAI, based on the feedback and usage of the users and the community. Some of the most recent developments and updates related to ChatGPT4 are:
- Memory and new controls for ChatGPT4 (Feb 13, 2024): OpenAI is testing memory with ChatGPT4, which allows the system to remember things that users discuss across all chats, and to make future conversations more helpful. Users can control ChatGPT4’s memory by telling it to remember, forget, or recall information, or by adjusting the settings. Users can also turn off the memory feature entirely if they prefer.
- Introducing the GPT Store and ChatGPT Team plan (Jan 10, 2024): OpenAI has launched the GPT Store, which features a diverse range of GPTs developed by its partners and the community. Custom iterations of ChatGPT4, known as GPTs, amalgamate instructions, additional knowledge, and a variety of skills.Users can browse popular and trending GPTs on the community leaderboard, with categories like DALL·E, writing, research, programming, education, and lifestyle. OpenAI has also launched a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT4 at work. Chat GPT Team offers access to its advanced models like GPT-4 and DALL·E , and tools like Advanced Data Analysis.
- ChatGPT with voice is available to all users (November 21, 2023): ChatGPT with voice is now available to all free users, who can download the app on their phone Initiate a conversation by tapping the icon resembling headphones. ChatGPT with voice can generate natural and expressive speech from any text input, and can also transcribe speech to text.
- Introducing GPTs (November 6, 2023): OpenAI has introduced GPTs, which are a new way for anyone to create a tailored version of ChatGPT4 for a specific purpose, and then share that creation with others. For example, GPTs can help users learn the rules to any board game, help teach their kids math, or design stickers. Plus and Enterprise users can start creating GPTs, and later this month, OpenAI will launch the GPT Store, so people can feature and make money from their GPTs.
- Browsing is now out of beta (October 17, 2023): Browsing, which allows users to search the web with ChatGPT4, is moving out of beta. Plus and Enterprise users can choose “Browse with Bing” from the GPT-4 model selector, and get relevant and reliable information from the web, such as facts, definitions, summaries, or links.
