What Exactly Is GPT-3, & How Might It Affect Artificial Intelligence?

What Exactly Is GPT-3, & How Might It Affect Artificial Intelligence?

In the artificial intelligence (AI) world, there’s been such a buzz about a recently introduced technology known as GPT-3.

It’s an AI that outperforms its predecessors in its ability to produce content with a language structure, whether human or machine.

What Exactly Is GPT-3

Generative Pre-Trained Transformer 3 (GPT-3) is a machine learning model that has the potential to write and create content on its own. That’s true, indeed, a machine code that uses the available data to execute and write nearly anything, be it poetry or codes!

GPT-3 is an autoregressive language model that uses deep learning that makes it able to learn and mimic human writing styles to produce text that resembles human speech. It was developed by OpenAI, a SanFransisco-based company, and is recognized as a meritorious success of AI. Efficacious and potent, it is the third version of OpenAI’s family of Generative Pre-Trained models.

In other words, the algorithms built into GPT-3 are pre-trained with all the information needed to complete the content creation process. The text content from Wikipedia and other sources has been integrated with ‘Common Crawl‘, a publicly accessible dataset. Compared to any other dataset, it has more than 100 billion parameters, making it the largest language model ever encapsulated. And the reason that makes it pretty impressive is its human-like dialects.

This Model Can Do Wonders! / It Is Truly Neoteric & Spellbinding / What GPT-3 Has To Offer

After training the model, one can instruct GPT-3 to be anything they like; for example, it can write code or even a novel. With just a few examples or by stating your task in English, you can use it for any language task, including semantic search, summarization, translation, sentiment analysis, content generation, and more. The proper instructions given to the model will help it adapt your desired writing style, which captures the storyline’s tone and intensity. To put it another way, reliable historical data can aid in producing content that caters to your interests.

Have a look at the list of what this language prediction model can do:

  • Code: CSS, Figma, HTML, javascript, JSX, LaTeX, Python, React app, SQL.
  • Professional: Ads, copywriting, content marketing, CV generation, emails, note-taking, team management.
  • Non-fiction: Dialogue, essays, impersonation, news articles, plot summaries, teaching, tweets.
  • Philosophy: Number 42, meaning of life, responses to philosophers.
  • Rational Skills: Anagrams, analogies, common sense, concept blending, counting, forecasting, logic, uncertainty.
  • Creativity: board games, cooking recipes, fiction, guitar tabs, humor, memes, online games, poetry, songs, write in your unique style.

Its Notable Applications

GPT-3 has a wide variety of applications due to its admirable text generation capabilities. The prominent ones are:

Coding

As programming code is really a form of text, GPT-3 can produce code that can run without any error, with just a few snippets of example code text. It is useful in creating website mockups as well. One developer merged GPT-3 with the UI prototyping tool Figma to create a website only by describing it in a sentence or two. The software can replicate websites by using a URL as suggested text. In addition to creating code snippets, regular expressions, Excel functions, plots and charts from text descriptions, and other development tools, developers use it in diverse ways.

Writing

You can use GPT-3 to generate code and creative writing, such as blog posts, essays, advertising copy, and poetry. Besides, it can generate texts of up to 50,000 characters without supervision. In addition to fact-based writing, it can produce creative Shakespearean-style fiction stories.

Gaming

Another amazing use of this model is in the gaming industry. GPT-3 can generate realistic chat dialogue, quizzes, pictures, and other graphics from text suggestions. It may create comic strips, recipes, and memes too.

Sounds too good to be true? Well, that’s what this groundbreaking model is blessing the world with! But somehow this newly developed technology is affecting artificial intelligence. So, first have a quick review of artificial intelligence and how terrifically it is impacting businesses.

Artificial Intelligence & Its Influence On Businesses

Artificial Intelligence On Businesses

Humans initially thought that artificial intelligence (AI) could, one day, take their place. Put simply, AI is a self-learning and constantly developing piece of technology. It can be put into any stream and outshines us. Since it has gotten into our lives, it has dramatically influenced areas like security, control, analysis, and so forth! Every scenario imaginable, including banking, education, industrial management, etc., can implement its applications.

Studies predict that the market for AI will reach over $60 billion by 2025. Not only this, but using artificial intelligence in business can speed up productivity by approx. up to 40%. In the year 2022, around 95% of mobile phones users used voice assistants on their phones, and more than 4 billion devices are already working on AI-powered voice assistants. About 47% of the most advanced businesses have integrated AI into their mobile apps. Meanwhile, 84% use a personalized strategy. What’s more, by 2030, AI will boost the global GDP by $15.7 trillion. Thus, it is obvious that the future of automation and decision-making relies on AI and machine learning.

Now, let’s dig up how the GPT-3 hype, which has become the ‘new talk’ of the tech world, can gigantically affect artificial intelligence!

How GPT-3 May Affect Artificial Intelligence

The training data that machine learning models have access to determine how great or terrible they will be. When negative data is supplied to the dataset, the module responds to questions with negative comments. It shows that it lacks the ability to discern between right and wrong and will produce responses based on its input. As a result, the outputs may be prejudiced and quite spiteful, which can be problematic. For instance:

  • Use of Derogatory Language

If a model uses offensive language or shows a bad attitude, the situation will become unpleasant. The viewers might find the words rude or indecent, and the model may actually cause more issues than it solves.

  • Wrong Suggestions To Patients

There are certain grey areas, according to OpenAI, despite its applications in the healthcare sector. What details you provide the model to perceive when it interprets a patient is all that matters! The AI might advise association paths that could jeopardize a patient’s health.

  • Unfair Grading Of Students

If we use this software to grade student papers, it may be partial to judge papers of different cultural backgrounds. Students have their own patterns and writing styles. Other articles may be excellent, but they do not follow the proper pattern that the AI is looking for because it only compares with the database type it has. Even though it’s not their fault, this could impact grades and pose a problem because of their caste.

Some Issues That Bring Down The Hype

Although many businesses laud GPT-3 for its astounding capabilities in AI, there are a few key factors to consider.

Sam Altman, OpenAI’s CEO, has said that the GPT-3 Hype is too much. AI can bring big changes to the world, but GPT-3, it’s just an early glimpse.

  • Expensive & High Computing Power

First of all, the enormous amount of computing power required to perform its tasks makes it a costly tool to use. This means that smaller firms couldn’t afford the cost of employing it.

  • Hidden Algorithm Working

Secondly, it is a closed system. Anyone depending on OpenAI to provide them with answers to their queries or develop useful products would not yet be completely aware of how those things were created as OpenAI has not entirely disclosed how its algorithms operate.

  • Flaws In Doing Complex Tasks

And thirdly, the system still produces imperfect results. Though it handles simple tasks like writing brief texts or making simple apps, when requested to create something longer or more complex, its output is less usable and sometimes referred to as ‘gibberish’.

Closing Thoughts

Despite being so magnificent and packed with marvelous benefits, which include writing articles, novels, coding, translating or even summarizing long texts, and many other things, the crazy hype brings bad news for AI. But its creators don’t want it to be banned. That’s why they are figuring out ways to sharpen its features to perfection. Nonetheless, its advantages conceal the risks it has to offer!

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Hi, my name is Ramsha. And I'm a Content Wizard at Intelvue, who plays with words and writes enthusiastically with an ultimate focus on producing legit, quality Tech blogs.
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