Limitations of GPT-4, the hypothetical successor of GPT-3?

OpenAI has recently unveiled the latest iteration of its highly popular large language model, GPT-4, which was officially released on March 14, 2023. The San Francisco-based research company boasts that this latest version is far more sophisticated and has been trained on even more data, making it not only highly capable but also more expensive to operate.

What OpenAI says about GPT-4?

According to OpenAI, GPT-4 is not only more innovative and collaborative than its predecessors, but it is also highly accurate in solving complex problems. The model is designed to generate, edit, and collaborate with users on a range of technical and creative writing tasks, and it can now respond to images as well as text.

GPT-4 is the hypothetical successor to OpenAI’s highly popular and advanced natural language processing (NLP) model, GPT-3.

GPT-4 is expected to be more than just an improvement over its predecessor as it is projected to be a large multimodal model capable of processing not only text but also image inputs and producing text outputs.

Features of GPT-4

Visual Story beyond the Imagination

It is not your average language model. It’s got a feature that will make you see images in a whole new way: the ability to analyze them, classify them, and generate captions that will leave you in awe.

  • Suppose You take a photo of your best friend and GPT-4 can give you a caption that perfectly captures their unique personality.
  • It’s like having your own personal comedian right there in your phone. Or maybe you snap a pic of a beautiful sunset on lakeside view, and GPT-4 describes it in such vivid detail that you feel like you’re right there, basking in its warm glow.

But GPT-4 is not just about making you feel good. It’s also it comes to image classification. Want to know which pet products are most popular among cat owners versus dog owners? New Version can analyze the images and tell you in a snap. And if you’re a marketer looking to gain insights into your target.

Writing Capacity

  • GPT-4 has mind-boggling capacity to handle over 25,000 words of text. This means it can do a ton of stuff, like creating content, analyzing data, and having in-depth conversations.
  • But it’s not just about handling big blocks of text – It can actually understand what it’s reading and come up with insights and responses that are pretty darn smart.
  • And when it comes to document search and analysis, GPT-4 is a total champ. It can sort through tons of information and find the key points in no time.

So whether you’re a business owner, a researcher, or just someone who wants to have a chat with a computer (hey, we don’t judge), GPT-4 is definitely worth checking out. Its advanced language processing skills and impressive memory make it a powerful tool for getting things done, and who knows what kind of amazing insights and discoveries you might uncover with its help?

Creative writing

GPT-4 is like the coolest kid on the block when it comes to language models. It’s got some seriously advanced features that let it team up with users and tackle creative and technical writing projects like nobody’s business.

But GPT-4 isn’t just a one-trick pony when it comes to writing. It’s also a pro at technical writing, like cranking out academic papers or technical documentation. And it can do it all while keeping things interesting and engaging, with formatting and citations on point.

Also Read: Future of the search engine: AI & NLP will dominate the 21st century

Limitations of GPT-4

Blocked by the the Hallucinations

While GPT-4 has impressive capabilities, it still has limitations that should be noted.

  • One important limitation is its reliability – it can still generate incorrect information and make reasoning errors, a phenomenon known as “hallucinations.”
  • Therefore, caution should be exercised when using the language model’s outputs, especially in high-stakes situations.
  • The specific protocol used to verify the accuracy of the outputs, such as human review or grounding with additional context, should be tailored to the specific use-case.

Despite this limitation, GPT-4 has significantly reduced the occurrence of hallucinations compared to previous models. In fact, it scores 40% higher than the latest GPT-3.5 in the internal evaluations of adversarial factuality.

Lack of Rich Resources

It is worth noting that GPT4’s knowledge base is cut off at September 2021, which means that it may lack awareness of recent events. Despite its impressive abilities across various domains, it can sometimes make simplistic reasoning errors that do not reflect its overall competence.

It’s tendency to accept false statements from users can be surprising, given its advanced capabilities. Lastly, it can encounter challenging problems similar to humans, such as introducing security vulnerabilities into the code it generates.

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