president path parameters progress
Answers
Explanation:
There’s been a lot of talk around the power, capabilities, and potential use cases of GPT-3 in the AI community. As the largest language model developed to date, it has the potential to advance AI as a domain. People have developed all sorts of uses – from mimicking Shakespeare, to writing prose, to designing web pages. It primarily stood out due to:
Foraying into AGI. The language model isn’t trained to perform a specific task such as sentence completion or translation, which is normally the case with ANI, the most prevalent form of AI we have seen. Rather, GPT-3 can perform multiple tasks such as answering trivia questions, translating common languages, and solving anagrams, to name a few, in a manner that is indistinguishable from a human.
Advancing the zero-shot/few-shot learning mechanism in model training. This mechanism is a setup in machine learning wherein the model predicts the answer only from the task description in natural language and/or maybe a few examples, implying that the algorithm can showcase accuracy without being extensively trained for a particular task. This capability opens the possibilities of building lean AI models that aren’t as data-intensive and don’t require humongous task-specific datasets for training.