CHAT GPT-4 NEW ANNOUNCEMENT

WHAT IS GPT-4

GPT or Generative Pre-trained Transformer is basically an autoregressive language model, which means that it generates human-like text using a deep learning model, based on textual input.

ABOUT LATEST UPDATE OF GPT-4

GPT-4 is the latest version of OpenAI's large language model, which is trained on vast amounts of online data to generate compelling responses to user prompts.

OpenAI has announced GPT4, the latest version of its large language model that powers key applications like ChatGPT and the new Bing.

The San Francisco-based research company says GPT-4 is more sophisticated than the previous version and has been trained on more data, making it also expensive to run.

The company claims the model is “more creative and collaborative than ever before” and “can solve difficult problems with greater accuracy.” GPT-4 can generate, edit, and iterate with users on creative and technical writing tasks. The new model can also respond to images as well as text.

“We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrail,” the company said in a research blog post.

GPT-4 can generate captions, classifications, and analyses.

It is also capable of handling 25,000 words of texts, enabling content creation, extended conversations, as well as document search and analysis.

OpenAI says the new model will produce fewer factually incorrect answers. In fact, the company claims GPT-4 performs better than humans on many standardized tests.

For example, GPT-4 performed at the 90th percentile on a simulated bar exam, the 93rd percentile on an SAT reading exam, and the 89th percentile on the SAT Math exam, OpenAI claimed.

However, the company has acknowledged GPT-4’s limitations such as “social biases”, hallucinations, and adversarial prompts.”

“The model can have various biases in its outputs—we have made progress on these but there’s still more to do,” the company said in a blog post.

DIFFERENCE OF GPT-3 AND GPT-4

GPT-4 isn’t a huge leap from GPT-3.5 and the research firm admits that, calling the new latest version of its primary large language model more iterative.

The major difference between the interactions is the ability of AI bots to understand and generate content based on text.

With GPT-3, AI bots made a massive leap in their capabilities of natural language processing, because of which it could generate images and text that was actually much closer to the text prompt than ever before.

With GPT-4, the forthcoming GPT-4 update from OpenAI will allow users to convert text to video, but that’s not all. It will also greatly improve the manner in which GPT-3 works, and make it much faster and quicker than current GPT-3 based applications

“In a casual conversation, the distinction between GPT-3.5 and GPT-4 can be subtle. The difference comes out when the complexity of the task reaches a sufficient threshold—GPT-4 is more reliable, creative, and able to handle much more nuanced instructions than GPT-3.5,” OpenAI wrote in a blog post.

OpenAI said it used Microsoft Azure to train the model; the Redmond giant has invested billions of dollars in the startup. OpenAI’s GPT model powers the popular chatbot ChatGPT and Microsoft’s Bing AI chat.

The new Bing AI chat bot uses GPT-4, Microsoft officially confirmed after months of rumors.

The new model will be available to paying users of ChatGPT, OpenAI’s $20 monthly subscription and will also be available as part of an API which allows programmers to integrate the AI into their apps.

OpenAI says it’s already partnered with a number of companies to integrate GPT-4 into their products, including Duolingo, Stripe, and Khan Academy.

The race to AI domination has gained steam over the past few months, with both Microsoft and Google jumping into the space.

Generative AI, as many believe, will lay the groundwork for many future products currently in the pipeline. OpenAI introduced ChatGPT in November and instantly the chat bot went viral.

Microsoft’s interest in generative AI and its investment in OpenAI has put Google in a tight spot. The Silicon Valley heavyweight has been under pressure to deeply integrate artificial intelligence capabilities in its core apps such as Gmail and Docs.

How is GPT-4 better than GPT-3?

Experts believe that GPT-4 and its abilities will make ChatGPT like a rudimentary joke. GPT-4 has a much better modality than GPT-3, meaning that it can operate much better when it comes to texts, as well as images.

Furthermore, GPT-4 will also be able to generate videos, based on textual cues.

Multimodality, video processing, and the capacity to produce AI-generated videos from straightforward text prompts are among the new capabilities that the Microsoft-backed startup’s GPT-4 will incorporate.

Currently, only text-based responses can be provided by ChatGPT and other technologies powered by GPT-3.5.

In addition to its multimodal capabilities, GPT-4 may be able to solve ChatGPT’s issue with a sluggish response time to user-generated queries.

Both, Google Bard and Meta’s AI are actually similar to GPT-4 and can generate videos as well as text. However, there are some glaring issues with both of their AI models because of which the results that these bots generate are not exactly accurate.

Remember when Google demoed their Bard AI and it got an answer wrong? Well, that sent Google’s stock tumbling by $100 billion. Imagine just how disastrous things would have been if the demo had involved a video generation element.

Although OpenAI’s CEO Sam Altman, and CTO Mira Murati believe that GPT-4 is being overhyped, both of them on separate occasions have alluded to the possibility that GPT-4 will be a major paradigm shift.

GPT-4 has similar limitations as earlier GPT models. “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,” Sam Altman, CEO of OpenAI, wrote in a series of tweets Tuesday announcing the update.

Still, the company said, “great care should be taken when using language model outputs, particularly in high-stakes contexts.”