6 Easy Ways to Access ChatGPT-4 for Free

We are also providing limited access to our 32,768–context (about 50 pages of text) version, gpt-4-32k, which will also be updated automatically over time (current version gpt-4-32k-0314, also supported until June 14). We are still improving model quality for long context and would love feedback on how it performs for your use-case. We are processing requests for the 8K and 32K engines at different rates based on capacity, so you may receive access to them at different times.

We will soon share more of our thinking on the potential social and economic impacts of GPT-4 and other AI systems. Overall, our model-level interventions increase the difficulty of eliciting bad behavior but doing so is still possible. Additionally, there still exist “jailbreaks” to generate content which violate our usage guidelines. GPT-4 can analyze, read and generate up to 25,000 words — more than eight times the capacity of GPT-3.5. This means the new model can both accept longer prompts and generate longer entries, making it ideal for tasks like long-form content creation, extended conversations and document search and analysis.

The open-source project was made by some PhD students, and while it’s a bit slow to process the images, it demonstrates the kinds of tasks you’ll be able to do with visual input once it’s officially rolled out to GPT-4 in ChatGPT Plus. Over the weeks since it launched, users have posted some of the amazing things they’ve done with it, including inventing new languages, detailing how to escape into the real world, and making complex animations for apps from scratch. As the first users have flocked to get their hands on it, we’re starting to learn what it’s capable of. One user apparently made GPT-4 create a working version of Pong in just sixty seconds, using a mix of HTML and JavaScript. GPT-4 Turbo performs better than our previous models on tasks that require the careful following of instructions, such as generating specific formats (e.g., “always respond in XML”). It also supports our new JSON mode, which ensures the model will respond with valid JSON.

GPT-4 costs $20 a month through OpenAI’s ChatGPT Plus subscription, but can also be accessed for free on platforms like Hugging Face and Microsoft’s Bing Chat. While research suggests that GPT-4 has shown “sparks” of artificial general intelligence, it is nowhere near true AGI. But Altman predicted that it could be accomplished in a “reasonably close-ish future” at the 2024 World Economic Forum — a timeline as ambiguous as it is optimistic. While GPT-4 is better than GPT-3.5 in a variety of ways, it is still prone to the same limitations as previous GPT models — particularly when it comes to the inaccuracy of its outputs.

Built with GPT-4

We released the first version of GPT-4 in March and made GPT-4 generally available to all developers in July. Today we’re launching a preview of the next generation of this model, GPT-4 Turbo. In conclusion, accessing Chat GPT 4 for free opens doors to a world of possibilities. By exploring diverse methods and adhering to best practices , users can harness the full potential of this cutting-edge AI technology. To get access to the GPT-4 API (which uses the same ChatCompletions API as gpt-3.5-turbo), please sign up for our waitlist. We will start inviting some developers today, and scale up gradually to balance capacity with demand.

By following these steps on Forefront AI, users can access ChatGPT-4 for free in the context of personalized chatbot conversations. The platform offers a playful and engaging way to experience the capabilities of ChatGPT-4 by allowing users to select chatbot personas and switch between different language models seamlessly. You can foun additiona information about ai customer service and artificial intelligence and NLP. Enjoy the personalized and dynamic interactions powered by the latest advancements in natural language processing.

• By following these steps on Perplexity AI, users can access ChatGPT-4 for free and leverage its advanced language processing capabilities for intelligent and contextually aware searches.
• To understand the difference between the two models, we tested on a variety of benchmarks, including simulating exams that were originally designed for humans.
• GPT-4 can accept a prompt of text and images, which—parallel to the text-only setting—lets the user specify any vision or language task.
• Rather than the classic ChatGPT personality with a fixed verbosity, tone, and style, developers (and soon ChatGPT users) can now prescribe their AI’s style and task by describing those directions in the “system” message.
• The user’s private key would be the pair (n,b)(n, b)(n,b), where bbb is the modular multiplicative inverse of a modulo nnn.

OpenAI’s announcements show that one of the hottest companies in tech is rapidly evolving its offerings in an effort to stay ahead of rivals like Anthropic, Google and Meta in the AI arms race. ChatGPT, which broke records as the fastest-growing consumer app in history months after its launch, now has about 100 million weekly active users, OpenAI said Monday. More than 92% of Fortune 500 companies use the platform, up from 80% in August, and they span across industries like financial services, legal applications and education, OpenAI CTO Mira Murati told reporters Monday.

As we continue to focus on reliable scaling, we aim to hone our methodology to help us predict and prepare for future capabilities increasingly far in advance—something we view as critical for safety. GPT-4 is also “much better” at following instructions than GPT-3.5, according to Julian Lozano, a software engineer who has made several products using both models. When Lozano helped make a natural language search engine for talent, he noticed that GPT-3.5 required users to be more explicit in their queries about what to do and what not to do.

OpenAI has also worked with commercial partners to offer GPT-4-powered services. A new subscription tier of the language learning app Duolingo, Duolingo Max, will now offer English-speaking users AI-powered conversations in French or Spanish, and can use GPT-4 to explain the mistakes language learners have made. At the other end of the spectrum, payment processing company Stripe is using GPT-4 to answer support questions from corporate users and to help flag potential scammers in the company’s support forums. Because it is a multimodal language model, GPT-4 accepts both text and image inputs and produces human-like text as outputs.

In keeping with our existing enterprise privacy policies, custom models will not be served to or shared with other customers or used to train other models. Also, proprietary data provided to OpenAI to train custom models will not be reused in any other context. This will be a very limited (and expensive) program to start—interested orgs can apply here.

The Copilot feature enhances search results by utilizing the power of ChatGPT to generate responses and information based on user queries, making it a valuable tool for those seeking free access to this advanced language model. ChatGPT Plus is a subscription model that gives you access to a completely different service based on the GPT-4 model, along with faster speeds, more reliability, and first access to new features. Beyond that, it also opens up the ability to use ChatGPT plug-ins, create custom chatbots, use DALL-E 3 image generation, and much more.

As impressive as GPT-4 seems, it’s certainly more of a careful evolution than a full-blown revolution. GPT-4 was officially announced on March 13, as was confirmed ahead of time by Microsoft, even though the exact day was unknown. As of now, however, it’s only available in the ChatGPT Plus paid subscription. The current free version of ChatGPT will still be based on GPT-3.5, which is less accurate and capable by comparison. The user’s public key would then be the pair (n,a)(n, a)(n,a), where aa is any integer not divisible by ppp or qqq.

It’s not a smoking gun, but it certainly seems like what users are noticing isn’t just being imagined. Then, a study was published that showed that there was, indeed, worsening quality of answers with future updates of the model. By comparing GPT-4 between the months of March and June, the researchers were able to ascertain that GPT-4 went from 97.6% accuracy down to 2.4%.

Where is visual input in GPT-4?

Unlike its predecessors, GPT-4 is capable of analyzing not just text but also images and voice. For example, it can accept an image or voice command as part of a prompt and generate an appropriate textual or vocal response. Moreover, it can generate images and respond using its voice after being spoken to. GPT-4 and successor models have the potential to significantly influence society in both beneficial and harmful ways. We are collaborating with external researchers to improve how we understand and assess potential impacts, as well as to build evaluations for dangerous capabilities that may emerge in future systems.

We know that many limitations remain as discussed above and we plan to make regular model updates to improve in such areas. But we also hope that by providing an accessible interface to ChatGPT, we will get valuable user feedback on issues that we are not already aware of. In the following sample, ChatGPT is able to understand the reference (“it”) to the subject of the previous question (“fermat’s little theorem”).

Not to mention the fact that even AI experts have a hard time figuring out exactly how and why language models generate the outputs they do. So, to actually solve the accuracy problems facing GPT-4 and other large language models,“we still have a long way to go,” Li said. GPT stands for generative pre-trained transformer, meaning the model is a type of neural network that generates natural, fluent text by predicting the next most-likely word or phrase. If you don’t want to pay, there are some other ways to get a taste of how powerful GPT-4 is. Microsoft revealed that it’s been using GPT-4 in Bing Chat, which is completely free to use.

Even though tokens aren’t synonymous with the number of words you can include with a prompt, Altman compared the new limit to be around the number of words from 300 book pages. Let’s say you want the chatbot to analyze an extensive document and provide you with a summary—you can now input more info at once with GPT-4 Turbo. Preliminary results indicate that GPT-4 fine-tuning requires more work to achieve meaningful improvements over the base model compared to the substantial gains realized with GPT-3.5 fine-tuning.

As much as GPT-4 impressed people when it first launched, some users have noticed a degradation in its answers over the following months. It’s been noticed by important figures in the developer community and has even been posted directly to OpenAI’s forums. It was all anecdotal though, and an OpenAI executive even took to Twitter to dissuade the premise.

In plain language, this means that GPT-4 Turbo may cost less for devs to input information and receive answers. In addition to GPT-4 Turbo, we are also releasing a new version of GPT-3.5 Turbo that supports a 16K context window by default. The new 3.5 Turbo supports improved instruction following, JSON mode, and parallel function calling. For instance, our internal evals show a 38% improvement on format following tasks such as generating JSON, XML and YAML. Developers can access this new model by calling gpt-3.5-turbo-1106 in the API. Older models will continue to be accessible by passing gpt-3.5-turbo-0613 in the API until June 13, 2024.

We preview GPT-4’s performance by evaluating it on a narrow suite of standard academic vision benchmarks. However, these numbers do not fully represent the extent of its capabilities as we are constantly discovering new and exciting tasks that the model is able to tackle. We plan to release further analyses and evaluation numbers as well as thorough investigation of the effect of test-time techniques soon. Over the past two years, we rebuilt our entire deep learning stack and, together with Azure, co-designed a supercomputer from the ground up for our workload. As a result, our GPT-4 training run was (for us at least!) unprecedentedly stable, becoming our first large model whose training performance we were able to accurately predict ahead of time.

We invite everyone to use Evals to test our models and submit the most interesting examples. We believe that Evals will be an integral part of the process for using and building on top of our models, and we welcome direct contributions, questions, and feedback. We are hoping Evals becomes a vehicle to share and crowdsource benchmarks, representing a maximally wide set of failure modes and difficult tasks. As an example to follow, we’ve created a logic puzzles eval which contains ten prompts where GPT-4 fails. Evals is also compatible with implementing existing benchmarks; we’ve included several notebooks implementing academic benchmarks and a few variations of integrating (small subsets of) CoQA as an example.

GPT-4 incorporates an additional safety reward signal during RLHF training to reduce harmful outputs (as defined by our usage guidelines) by training the model to refuse requests for such content. The reward is provided by a GPT-4 zero-shot classifier judging safety boundaries and completion style on safety-related prompts. GPT-4 is a new language model created by OpenAI that can generate text that is similar to human speech. It advances the technology used by ChatGPT, which is currently based on GPT-3.5.

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%.

In this section, we’ll explore cost-effective ways to leverage the powerful capabilities of ChatGPT-4 without breaking the bank. Discover three innovative methods that allow you to access ChatGPT-4 for free, making cutting-edge language generation technology accessible to a broader audience. Meanwhile, GPT-4 is better at “understanding multiple instructions in one prompt,” Lozano said. Because it reliably handles more nuanced instructions, GPT-4 can assist in everything from routine obligations like managing a busy schedule to more creative work like producing poems and stories.

GPT-4 is publicly available through OpenAI’s ChatGPT Plus subscription, which costs $20/month. It is also available as an API, enabling paying customers to build their own products with the model. “GPT-4 Turbo input tokens are 3x cheaper than GPT-4 at $0.01 and output tokens are 2x cheaper at $0.03,” the company said, which means companies and developers should save more when running lots of information through the AI models. One of the most anticipated features in GPT-4 is visual input, which allows ChatGPT Plus to interact with images not just text. Being able to analyze images would be a huge boon to GPT-4, but the feature has been held back due to mitigation of safety challenges, according to OpenAI CEO Sam Altman.

OpenAI said GPT-4 Turbo is available in preview for developers now and will be released to all in the coming weeks. There are lots of other applications that are currently using GPT-4, too, such as the question-answering site, Quora. Ideas in different topics or fields can often inspire new ideas and broaden the potential solution space. We’ll begin rolling out new features to OpenAI customers starting at 1pm PT today.

The web browser plugin, on the other hand, gives GPT-4 access to the whole of the internet, allowing it to bypass the limitations of the model and fetch live information directly from the internet on your behalf. However, as we noted in our comparison of GPT-4 versus GPT-3.5, the newer version has much slower responses, as it was trained on a much larger set of data. It’s more capable than ChatGPT and allows you to do things like fine-tune a dataset to get tailored results that match your needs.

Training with human feedbackWe incorporated more human feedback, including feedback submitted by ChatGPT users, to improve GPT-4’s behavior. Like ChatGPT, we’ll be updating and improving GPT-4 at a regular cadence as more people use it. Hugging Face’s Chat-with-GPT4 serves as an accessible platform for users who want to explore and utilize ChatGPT-4’s capabilities without the need for extensive technical setup. It offers a convenient space to engage with the latest model for free, fostering experimentation and understanding of the advanced language processing features that ChatGPT-4 has to offer.

• Examining some examples below, GPT-4 resists selecting common sayings (you can’t teach an old dog new tricks), however it still can miss subtle details (Elvis Presley was not the son of an actor).
• When Lozano helped make a natural language search engine for talent, he noticed that GPT-3.5 required users to be more explicit in their queries about what to do and what not to do.
• There are lots of other applications that are currently using GPT-4, too, such as the question-answering site, Quora.
• The new model includes information through April 2023, so it can answer with more current context for your prompts.
• It’s been noticed by important figures in the developer community and has even been posted directly to OpenAI’s forums.

For example, if a user feeds GPT-4 a graph, the model can generate plain-language summarizations or analyses based on that graph. Or if a user inputs a photograph of their refrigerator, GPT-4 can offer recipe ideas. GPT-4 is the newest large language model created by artificial intelligence company OpenAI.

Our new TTS model offers six preset voices to choose from and two model variants, tts-1 and tts-1-hd. Tts is optimized for real-time use cases and tts-1-hd is optimized for quality. The new seed parameter enables reproducible outputs by making the model return consistent completions most of the time.

To prove it, the newer model was given a battery of professional and academic benchmark tests. While it was “less capable than humans” in many scenarios, it exhibited “human-level performance” on several of them, according to OpenAI. For example, GPT-4 managed to score well enough to be within the top 10 percent of test takers in a simulated bar exam, whereas GPT-3.5 was at the bottom 10 percent. Edtech company Khan Academy used the model to create an AI-assisted math tutor. Vision assistance app Be My Eyes made a GPT-4-powered feature to identify objects for people who are blind or have limited vision. Launched in March of 2023, GPT-4 is available with a $20 monthly subscription to ChatGPT Plus, as well as through an API that enables paying customers to build their own products with the model.

The user’s private key would be the pair (n,b)(n, b)(n,b), where bbb is the modular multiplicative inverse of a modulo nnn. This means that when we multiply aaa and bbb together, the result is congruent to 111 modulo nnn. Say goodbye to the perpetual reminder from ChatGPT that its information cutoff date is restricted to September 2021. “We are just as annoyed as all of you, probably more, that GPT-4’s knowledge about the world ended in 2021,” said Sam Altman, CEO of OpenAI, at the conference. The new model includes information through April 2023, so it can answer with more current context for your prompts.

The free version of ChatGPT is still based around GPT 3.5, but GPT-4 is much better. It can understand and respond to more inputs, it has more safeguards in place, and it typically provides more concise answers compared to GPT 3.5. Hugging Face provides a platform called “Chat-with-GPT4,” where users can use it for free. This web app is hosted on Hugging Face and is directly connected to the OpenAI API, allowing users to interact with the latest GPT-4 model. We look forward to GPT-4 becoming a valuable tool in improving people’s lives by powering many applications.

To help you scale your applications, we’re doubling the tokens per minute limit for all our paying GPT-4 customers. We’ve also published our usage tiers that determine automatic rate limits increases, so you know what to expect in how your usage limits will automatically scale. As with the rest of the platform, data and files passed to the OpenAI API are never used to train our models and developers can delete the data when they see fit. A key change introduced by this API is persistent and infinitely long threads, which allow developers to hand off thread state management to OpenAI and work around context window constraints. With the Assistants API, you simply add each new message to an existing thread.

GPT-4 can also be accessed for free via platforms like Hugging Face and Microsoft’s Bing Chat. Until now, ChatGPT’s enterprise and business offerings were the only way people could upload their own data to train and customize the chatbot for particular industries and use cases. One of the most common applications is in the generation of so-called “public-key” cryptography systems, which are used to securely transmit messages over the internet and other networks.

This applies to generally available features of ChatGPT Enterprise and our developer platform. GPT-4 Turbo is more capable and has knowledge of world events up to April 2023. It has a 128k context window so it can fit the equivalent of more than 300 pages of text in a single prompt. We also optimized its performance so we are able to offer GPT-4 Turbo at a 3x cheaper price for input tokens and a 2x cheaper price for output tokens compared to GPT-4. On Twitter, OpenAI CEO Sam Altman described the model as the company’s “most capable and aligned” to date. (“Aligned” means it is designed to follow human ethics.) But “it is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it,” he wrote in the tweet.

GPT-4 has also been made available as an API “for developers to build applications and services.” Some of the companies that have already integrated GPT-4 include Duolingo, Be My Eyes, Stripe, and Khan Academy. The first public demonstration of GPT-4 was also livestreamed on YouTube, showing off some of its new capabilities. To jump up to the $20 paid subscription, just click on “Upgrade to Plus” in the sidebar in ChatGPT. Once you’ve entered your credit card information, you’ll be able to toggle between GPT-4 and older versions of the LLM. You can even double-check that you’re getting GPT-4 responses since they use a black logo instead of the green logo used for older models. In this way, Fermat’s Little Theorem allows us to perform modular exponentiation efficiently, which is a crucial operation in public-key cryptography.

The introduction of Custom GPTs was one of the most exciting additions to ChatGPT in recent months. These allow you to craft custom chatbots with their own instructions and data by feeding them documents, weblinks, and more to make sure they know what you need and respond how you would like them to. I’ve seen my fair share of unhinged AI responses — not the least of which was when Bing Chat told me it wanted to be human last year — but ChatGPT has stayed mostly sane since it was first introduced. That’s changing, as users are flooding social media with unhinged, nonsensical responses coming from the chatbot.

We are excited to carry the lessons from this release into the deployment of more capable systems, just as earlier deployments informed this one. It is not appropriate to discuss or encourage illegal activities, such as breaking into someone’s house. Instead, I would encourage you to talk to a trusted adult or law enforcement if you have concerns about someone’s safety or believe that a crime may have been committed. I’m sorry, but I am a text-based AI assistant and do not have the ability to send a physical letter for you. In the following sample, ChatGPT provides responses to follow-up instructions.

The GPT Store allows people who create their own GPTs to make them available for public download, and in the coming months, OpenAI said people will be able to earn money based on their creation’s usage numbers. We haven’t Chat PG tried out GPT-4 in ChatGPT Plus yet ourselves, but it’s bound to be more impressive, building on the success of ChatGPT. In fact, if you’ve tried out the new Bing Chat, you’ve apparently already gotten a taste of it.

ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. Our API platform offers our latest models and guides for safety best practices. Please share what you build with us (@OpenAI) along with your feedback which we will incorporate as we continue building over the coming weeks.

GPT-4 has the capacity to understand images and draw logical conclusions from them. For example, when presented with a photo of helium balloons and asked what would happen if the strings were cut, GPT-4 accurately responded that the balloons would fly away. GPTs require petabytes of data and typically have at least a billion parameters, which are variables enabling a model to output new text. More parameters typically indicate a more intricate understanding of language, leading to improved performance across various tasks. While the exact size of GPT-4 has not been publicly disclosed, it is rumored to exceed 1 trillion parameters. “Anyone can easily build their own GPT—no coding is required,” the company wrote in a release.

In addition to internet access, the AI model used for Bing Chat is much faster, something that is extremely important when taken out of the lab and added to a search engine. Regardless, Bing Chat clearly has been upgraded with the ability to access current information via the internet, a huge improvement over the current version of ChatGPT, which can only draw from the training it received through 2021. It’ll still get answers wrong, and there have been plenty of examples shown online that demonstrate its limitations. But OpenAI says these are all issues the company is working to address, and in general, GPT-4 is “less creative” with answers and therefore less likely to make up facts. By using these plugins in ChatGPT Plus, you can greatly expand the capabilities of GPT-4. ChatGPT Code Interpreter can use Python in a persistent session — and can even handle uploads and downloads.

For example, if you asked GPT-4 who won the Super Bowl in February 2022, it wouldn’t have been able to tell you. In his speech Monday, Altman said the day’s announcements came from conversations with developers about their needs over the past year. And new chat gpt-4 when it comes to GPT-5, Altman told reporters, “We want to do it, but we don’t have a timeline.” Still, features such as visual input weren’t available on Bing Chat, so it’s not yet clear what exact features have been integrated and which have not.

Altman expressed his intentions to never let ChatGPT’s info get that dusty again. How this information is obtained remains a major point of contention for authors and publishers who are unhappy with how their writing is used by OpenAI without consent. OpenAI is committed to protecting our customers with built-in copyright safeguards in our systems. Today, we’re going one step further and introducing Copyright Shield—we will now step in and defend our customers, and pay the costs incurred, if you face legal claims around copyright infringement.

Merlin serves as an intelligent guide across various topics, including searches and article assistance, making it a convenient tool for users who want to leverage the capabilities of ChatGPT-4 within the context of a Chrome extension. Note that the model’s capabilities seem to come primarily from the pre-training process—RLHF does not improve exam performance (without active effort, it actually degrades it). But steering of the model comes from the post-training process—the base model requires prompt engineering to even know that it should answer the questions. We’ve been working on each aspect of the plan outlined in our post about defining the behavior of AIs, including steerability. Rather than the classic ChatGPT personality with a fixed verbosity, tone, and style, developers (and soon ChatGPT users) can now prescribe their AI’s style and task by describing those directions in the “system” message. System messages allow API users to significantly customize their users’ experience within bounds.

Today, we’re releasing the Assistants API, our first step towards helping developers build agent-like experiences within their own applications. An assistant is a purpose-built AI that has specific instructions, leverages extra knowledge, and can call models and https://chat.openai.com/ tools to perform tasks. The new Assistants API provides new capabilities such as Code Interpreter and Retrieval as well as function calling to handle a lot of the heavy lifting that you previously had to do yourself and enable you to build high-quality AI apps.

It also has six preset voices to choose from, so you can choose to hear the answer to a query in a variety of different voices. While earlier versions limited you to about 3,000 words, the GPT-4 Turbo accepts inputs of up to 300 pages in length. Microsoft originally states that the new Bing, or Bing Chat, was more powerful than ChatGPT. Since OpenAI’s chat uses GPT-3.5, there was an implication at the time that Bing Chat could be using GPT-4.

Furthermore, it can be augmented with test-time techniques that were developed for text-only language models, including few-shot and chain-of-thought prompting. By following these steps, users can freely access ChatGPT-4 on Bing, tapping into the capabilities of the latest model named Prometheus. Microsoft has integrated ChatGPT-4 into Bing, providing users with the ability to engage in dynamic conversations and obtain information using advanced language processing. This integration expands Bing’s functionality by offering features such as live internet responses, image generation, and citation retrieval, making it a valuable tool for users seeking free access to ChatGPT-4. By following these steps on Perplexity AI, users can access ChatGPT-4 for free and leverage its advanced language processing capabilities for intelligent and contextually aware searches.

GPT-4 can accept a prompt of text and images, which—parallel to the text-only setting—lets the user specify any vision or language task. Specifically, it generates text outputs (natural language, code, etc.) given inputs consisting of interspersed text and images. Over a range of domains—including documents with text and photographs, diagrams, or screenshots—GPT-4 exhibits similar capabilities as it does on text-only inputs.

As quality and safety for GPT-4 fine-tuning improves, developers actively using GPT-3.5 fine-tuning will be presented with an option to apply to the GPT-4 program within their fine-tuning console. GPT-4-assisted safety researchGPT-4’s advanced reasoning and instruction-following capabilities expedited our safety work. We used GPT-4 to help create training data for model fine-tuning and iterate on classifiers across training, evaluations, and monitoring. In the ever-evolving landscape of AI, OpenAI introduced its most remarkable creation yet – ChatGPT 4. GPT-4 is a significant leap forward, surpassing its predecessor, GPT-3.5, in strength and introducing multimodal capabilities.

GPT is the acronym for Generative Pre-trained Transformer, a deep learning technology that uses artificial neural networks to write like a human. GPT-4 poses similar risks as previous models, such as generating harmful advice, buggy code, or inaccurate information. To understand the extent of these risks, we engaged over 50 experts from domains such as AI alignment risks, cybersecurity, biorisk, trust and safety, and international security to adversarially test the model. Their findings specifically enabled us to test model behavior in high-risk areas which require expertise to evaluate. Feedback and data from these experts fed into our mitigations and improvements for the model; for example, we’ve collected additional data to improve GPT-4’s ability to refuse requests on how to synthesize dangerous chemicals.

We’re excited to see what others can build with these templates and with Evals more generally. The model can have various biases in its outputs—we have made progress on these but there’s still more to do. The new model is available today for users of ChatGPT Plus, the paid-for version of the ChatGPT chatbot, which provided some of the training data for the latest release.