Let me start with one of my favorite beginnings. Have you ever thought of “How the world is going to be?” Well, the glimpses of the future have been already released across the globe. We shall get into the details.
GPT-3, Generative Pre-trained Transformer 3 developed by OpenAI, is the latest revolution in Artificial Intelligence (AI). It is an autoregressive language model. Wow, that’s a lot of English. Let’s make it simpler. It is a pre-trained program that does what the user asks it to do in an efficient and faster manner. So, it is clear that GPT-3 solely depends on the input and also the output changes with time as it learns by itself. It analyzes a sequence of phrases or words or text and other types of data thereby elaborating and producing a large output in the form of a paper or an image.
It possesses almost 175 billion parameters that are approximately ten times the second-most powerful language model, Microsoft Corp.’s Turing-NLG algorithm, which has 17 billion learning parameters. Thus making GPT-3 the powerful than existing AI models. The higher number of parameters enables it to produce more accurate human-like text. “By ingesting terabytes and terabytes of data to understand the underlying patterns in how humans communicate,” as shared by Sharif Shameem, GPT-3 works. GPT-3 processes a huge data bank of English sentences and extremely powerful computer models called neural nets to identify patterns and determine its own rules of how language functions.
It was trained on multiple unlabeled text data sets that include Common Crawl, Wikipedia, etc. Words and the phrases are randomly removed from the sentences and the model has to learn filling the text front the surrounding words as context. It can perform what any other AI models cannot. It can become a translate, or a poet, or a programmer and it can do with its user without any tuning. This is why the initial context of the poem was taken. The beauty will be automatically designed with trained models and maybe this will be the future. This is the most interesting part of GPT-3 which makes it more of magic.
In February 2019, OpenAI published their findings and results on their unsupervised language model, GPT-2, which was trained in 40 GB texts and was capable of predicting words in proximity. GPT-2, a transformer-based language applied to self-attention, allowed researchers to generated very convincing and coherent texts. The system, which is a general-purpose language algorithm, used machine learning to translate text, answer questions, and predicatively write text. However, it created a controversy because of its ability to create extremely realistic and coherent “fake news” articles based on something as simple as an opening sentence, making it unavailable for the public initially.
Here is our video on GPT-3. Language: Hindi. More on Techalink soon.
Here are some twitter opinions on GPT-3:
The world of automation has already begun. It’s on us to hold for its impact prepare for the consequences. The AI assists the globe or recreates the globe is yet to be seen. Learn More on Machine Learning with our blog! Stay updated for more!
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