In May 2020, Open AI published a groundbreaking paper titled Language Models Are Few-Shot Learners. They presented GPT-3, a language model that holds the record for being the largest neural network ever created with 175 billion parameters. GPT-3 was trained with almost all available data from the Internet, and showed amazing performance in various NLP (natural language processing) tasks, including translation, question-answering, and cloze tasks, even surpassing state-of-the-art models. One of the most powerful features of GPT-3 is that it can perform new tasks (tasks it has never been trained on) sometimes at state-of-the-art levels, only by showing it a few examples of the task. For instance, I can tell GPT-3: "I love you Te quiero. GPT-3 is the best AI system ever _____."

It is a Machine Learning technique in which instead of learning from training dataset(as in supervised learning), here model itself find hidden patterns and insights from the data. It create groups based on some similarity even without knowing what each group represent. In this article i will not explain each and every thing in brief, i will only give an short overview about the different types of unsupervised learning. Most of time peoples ask me what is Unsupervised Learning and how many types of it, i googled it but didn't get an perfect answers of this question this is only my motto of writing this article. Example: Suppose we have group of students belongs to different university's and we have to group them based on some feature, now we give this responsibility to unsupervised algorithms.

Before diving into Artificial Intelligence's future, Let's have a look at what is Artificial Intelligence. Artificial Intelligence is a machine Intelligence. In contrast with natural intelligence, machine intelligence is more accurate and efficient because it demonstrated by machines, not by humans or animals. Today, AI properly knowns as narrow AI (or weak AI), just because of designed it for narrow tasks. But, for a long-term goal, many researchers go for general AI (AGI or strong AI).

I guess you are looking for Python application in data science, Right! . In fact Python for data analysis is trendy question these days . I have experienced a amazing experience! That may also enforce you to learn coding with python . I have started programming for Analytics in java before 4 years .Even in that time, Python was in trend .