Think Like A Technocrat!!

  ChatGPT is a powerful artificial intelligence language model that has revolutionized the field of conversational AI. Developed by OpenAI, ChatGPT is based on the Generative Pre-trained Transformer architecture, which is a state-of-the-art deep learning model for natural language processing. With its ability to generate human-like responses in a conversational context, ChatGPT has a wide range of potential applications, from customer service chatbots to virtual assistants. At the heart of ChatGPT is its training data, which consists of a massive corpus of text data from the internet. This training data includes everything from news articles to social media posts to email correspondence, and is used to teach the model how to generate human-like responses in a wide range of contexts. The training process involves exposing the model to a vast number of examples of text data, allowing it to learn how to recognize patterns and generate responses that are contextually relevant and syntactic

Internet of things   is a well connected system of objects of physical devices that can be properly accessed through internet connectivity. All devices have their own IP address and can transmit data through network without any human surveillance.           Those objects work with help of  Artificial intelligence  ,  Machine learning  ,  Deep learning  and they require no human surveillance. History In 1999, an article by ASHTON published in RFID journal said " If we had computer that knew everything there was to know about things- using data they gathered without any help from us- we would be able to track and count everything and greatly reduce waste. Benefits of I.O.T I.O.T platform can help us in reduction of cost through better process of doing work. It reduces human requirement, It forward our lives towards relief and increases our comfort zone.  Dark side of I.O.T It will reduce human empowerment in all sectors of technology. Thankyou!!

Deep Learning   is also known as deep structured learning. It is a sub part of     Machine Learning .                                                                                                                 ARTIFICIAL INTELLIGENCE                                                                           ⇓                                                           MACHINE LEARNING                                                              ⇓                                                              DEEP LEARNING                                                                                                       ⇙⇓⇘                                                     ⇙      ⇓     ⇘                                               ⇙           ⇓          ⇘                               Supervised D.L.                    ⇓                   Unsupervised D.L.                                                                Semi-supervised D.L. Basically deep learning is appl

MACHINE LEARNING is an application of Artificial Intelligence  which helps a system to understand about it's user. It will automatically learn and improve from experience without any programming. Machine learning have it's main focus on development of computer program. The learning process begins from observing data and by direct experience . It will definitely help you in making best decisions in future. Main moto of M.L. is, automatic learning process can be applied on system without any human assistance. Some machine learning methods:-   1. Supervised machine learning algorithms  This will help in predictions of data on the basis of previous searches.   2. Unsupervised machine learning algorithms  They are used when information is neither classified nor labeled.   3. Semi-supervised machine learning algorithms  They actually fall between S.M.L.A(Supervised machine learning algorithms) and U.M.L.A(Unsupervised machine learning algorithms). It consist of small a

    Artificial Intelligence (AI)  is the simulation of human intelligence process by machines, especially our computer systems. These Processes includes the acquisition of information and rules for using the information, using rules to reach  approximate or definite conclusions and self correction.   Artificial intelligence can be further divided in two parts one is weak and another is strong. weak AI is generally called as narrow AI, is a robot that is specially designed for a definite task, eg-virtual personal assistant is it's best example. Strong AI, also known as artificial general intelligence. It is that a strong system which can complete it's task without any human help. An example of strong AI is self-driven cars in world. Benefits of Artificial Intelligence More powerful and more useful computers New and improved interfaces Better Database management and can detect fraud in payment gateways Limitation in Artificial Intelligence Difficulty with software develop