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Open AI’s GPT-3: The Artificial Intelligence Creating all the Buzz

Why is GPT-3 such a big deal?

As people still wonder why GPT-3 is so hyped, the answer is simple- it is the largest model trained yet. Its 175 learning parameters are 10 times more than any previous non-sparse language model. For all tasks, GPT-3 is applied without any gradient updates or fine-tuning. It only requires few-shot demonstrations via textual interaction with the model. This giant breakthrough for deep learning and natural language processing has enabled GPT-3 to accomplish all of the following and much more:

• Answer trivia puzzles correctly
• Predict the last word of sentences by recognizing the context of the paragraph
• Select the best ending out of many for a story
• Translate common languages, which was initially difficult for GPT-2
• Apply reasoning involving common sense
• Perform 5 digital arithmetic with accuracy
• Write news articles from a title with human-like essence

A research paper on GPT-3 titles “Language Models are Few-Shot Learners” highlights the results of testing GPT-3 on tasks mentioned above against fine-tuned state-of-the-art models. In most of the tests, GPT-3 performed better than those models at zero-shot configurations.

Reasons enough to create a buzz, isn’t it?

What do the early adopters have to say about it?

Soon after publishing GP-3 research, OpenAI gave select public members access to the model via an API. And since then, we can see a number of samples of text generated by GPT-3 widely on social media- leading to the hype we are sessing currently.

Founders Fund Principal, Delian Asparouhov, shared an excellent example of GPT-3 where he fed the algorithm half of an investment memo he had posted on his company website. He then gave GPT-3 half of an essay on how to run effective board meetings. In both cases, GPT-3 generated coherent and new paragraphs of text that followed the earlier formatting in such a manner that made it almost indistinguishable from the original text.

In another example, GPT-3 successfully showcased its capability to deceive people on almost any topic by writing about itself. Manuel Araoz, CTO, Zeppelin Solutions GmbH, used GPT-3 to create a complicated article about a faux experiment on the Bitcointalk forum by applying a basic prompt as a guideline. The article, “OpenAI’s GPT-3 may be the biggest thing since bitcoin,” details how GPT-3 deceived forum members into believing that its comments were genuine and human-written. Not just that, Araoz also tested GPT-3 in many other ways and made complex texts easier to understand, wrote poems in Spanish in Borges style, wrote music in ABC notation and much more.

A new breakthrough for artificial intelligence

In their mission to ensure that artificial general intelligence (AGI)-outperform humans at most economically valuable work-benefits to all of humanity, Open AI’s GPT-3 has been a major leap in achieving it by reaching the highest stage of human-like intelligence through ML and NLP. This is backed by experiments conducted by early testers who are left astounded by the results. We can only wonder what the next-gen of their developments can be capable of achieving.

Currently, the latest version of their GPT-3 general-purpose natural language processing model is available in private beta, and OpenAI is providing access to its API by invitation only. There’s still a long waiting list for the paid version, which is expected to be released in the next two months.