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Introduction to APIs- OpenAI and Hugging Face

Introduction to APIs - OpenAI and Hugging Face   API: Application Programming Interface is referred to as API. It is a collection of guidelines, conventions, and instruments that facilitates communication between various software programs. APIs make it simpler for developers to integrate features from one program into another by defining how various software components should communicate with one another. They can be utilized to get access to information, features, or services offered by other programs or online services. How do we use the various tools' and websites' APIs?  Through the use of APIs (Application Programming Interfaces) on various websites and tools, developers can incorporate certain features and data from those platforms into their own apps. Here's a condensed explanation along with an illustration: 1. Comprehending APIs:  APIs are similar to collections of guidelines that let various software programs talk to one another. They specify the for...
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Fundamentals of Machine Learning and Deep Learning

Fundamentals of Machine Learning (ML) and Deep Learning (DL) • Machine Learning Machine Learning is branch of Artificial Intelligence and is popular way to perform AI tasks through various methods. Simply in ML, there is no need to instruct computers, data is given to the system and according to past experience and data , rules are made by computers and apply further to get required results. In this ML domain model of Al are trained on learning how to create general rule for themselves to perform lookalike tasks by taking specific inputs and their desired possible outputs. ML required processed data with human intervention.  Most important things to note that ML algorithms uses neural networks and their hidden layers to process to the final results but these layers  are less i-e 1 or more in ML model, which provides less refined output or results. Other things are that numerous ML algorithms do not respond better on unstructured data as well as can’t handle large amount...
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Discriminative and Generative AI

Discriminative Artificial Intelligence(AI) Discriminative Artificial Intelligence (AI) models are taught to distinguish between different data classes, patterns, images etc. In simple words it is a type of artificial intelligence uses Machine and Deep Learning  techniques that helps us tell different things apart. Discriminative AI focuses on learning the lines that separate different groups in our data. Instead of making new data, it looks at data we already have to figure out what it is. • Application Areas a. Image Recognition : Discriminative AI helps identify what's in pictures, like telling if it's a cat or a dog. b. Speech Recognition : It figures out different words or phrases when people talk. c. Natural Language Processing (NLP): It sorts text into different groups, like figuring out if a review is positive or negative. Working of Discriminative AI Discriminative AI learns from examples, like pictures of cats and dogs, to get better at telling them a...
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