OpenAI released GPT-4, a highly anticipated upgrade to the software that underpins ChatGPT, on Tuesday. It would be the latest shot in a rapidly escalating battle among tech giants to control artificial intelligence.
With their latest technology GPT-4, the company claims to have obtained top results on several standardized tests, including bar exams. GPT-4 is a potent new model from OpenAI that can read text and images, which the company describes as the latest milestone in its drive to scale up deep learning.
GPT-4 exhibits competence at the human level on several professional and academic benchmarks. The new system can now handle texts longer than 25,000 words. Only 2,048 linguistic tokens or 1,500 words could be processed by GPT-3 at once. But this new version does much more than that.
The program was modified by OpenAI over six months to be 40% more likely to produce factual responses and 82% less likely to reply to requests for disallowed content.
Users of ChatGPT Plus, the premium version of the ChatGPT chatbot, can now use the latest model. Moreover, OpenAI has collaborated with business partners to provide GPT-4-powered services.
The English-speaking users of Duolingo Max can have access to AI-powered dialogues in French or Spanish and can use GPT-4 to clarify errors language learners have made.
Payment processing startup Stripe is utilizing GPT-4 to answer support inquiries from business users and to flag potential scammers in the company’s support forum.
Greg Brockman, the president of OpenAI, demonstrated in a video how the system may be trained to swiftly resolve tax-related queries, like figuring out a married couple’s standard deduction and total tax liability. Brockman said that the GPT-4 is very adept at mental calculations. It provides a wide range of flexible possibilities.
Additionally, the corporation claimed in a different online video that GPT-4 featured several functions that the previous version of the technology lacked, including the ability to reason based on uploaded photographs by users.
On OpenAI’s website, they provided several examples to further explain the possibilities of GPT-4, including the capacity to address issues like scheduling a meeting for three busy individuals, performing well on exams like the standardized bar exam, and figuring out a user’s unique writing style.
But, OpenAI also admitted its flaw, which included societal prejudices and hallucinations that it knew more than it actually did.
OpenAI’s GPT-4: What’s New?
The new language model GPT-4 developed by OpenAI can produce text that sounds like human speech. It will advance the GPT-3-based technology that ChatGPT now employs.
According to OpenAI, this new generation of language models is better advanced in three crucial areas such as inventiveness, visual input, and longer context. GPT-4 is significantly more creative and is much better at working with users on creative projects.
Up to 25,000 user-provided words of text can be processed by GPT-4. You can ask GPT-4 to interact with the content on a particular web page by ending it with a link to that website.
GPT-4 is much safer to use compared to the previous generation. According to OpenAI, GPT-4 has been trained with human feedback and can also receive pictures as a source of interaction.
The new GPT-4 has already stunned OpenAI enthusiasts with its unique features and functions. Several factors distinguish the latest Open AI model from the GPT-3. Let’s discover what makes GPT-4 different from the previous model of Open AI, GPT-3.
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How Different Is GPT-4 From GPT-3?
GPT-4 promises a significant improvement in performance over GPT-3, including an enhancement in the creation of text that more closely resembles human behavior and speed patterns.
GPT-4 is more flexible and adaptive and can handle jobs like text summarisation, language translation, and other activities. It will enable software to learn users’ intents more accurately, even when human error obstructs instructions.
Here are the major differences between GPT-4 and GPT-3.
- GPT-4 is a larger model than GPT-3: the size of the model is one of the primary differences between GPT-4 and GPT-3. With the release of GPT-4, OpenAI has increased the model’s 175 billion parameter count to 1.6 trillion. This indicates that the model can now handle far more difficult problems than in the past.
- GPT-3 has less Data Set compared to GPT-4: one of the significant distinctions between GPT-4 and GPT-3 is the greater data set that GPT-4 possesses over GPT-3. The newest Open AI version, GPT-4 has 45 gigabytes of training data as compared to GPT-3’s 17 gigabytes. This indicates that GPT-4 can deliver results that are substantially more precise.
- GPT-4 is faster than GPT-3: due to its foundation on more powerful GPUs and TPUs than GPT-3, GPT-4 will be much faster.
- GPT-4 has better results: to increase the accuracy of the results, GPT-4 and GPT-3 implemented algorithms. These techniques can be used to make machine learning models more accurate, which will lead to outcomes that are of higher quality.
- GPT-4 has a longer memory than GPT-3: the OpenAI chatbot model is trained on having longer memory. They have trained with millions of web pages, books, and other data to provide a quick response. Compared to GPT-3, the newly released model of OpenAI has a longer memory.
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