Differences Between GPT-3 and GPT-4 GPT-3, or Generative Pretrained Transformer 3, is a deep learning model developed by OpenAI. Released in June 2020, it has 175 billion parameters and is designed for a wide range of tasks such as language translation, text generation, and question-answering. GPT-3 is known for its impressive ability to generate coherent […]
What is the primary function of Convolutional Neural Networks (CNNs)? a) Natural Language Processing b) Image Classification and Recognition c) Time series forecasting d) Reinforcement Learning Correct Answer b) Image Classification and Recognition Explanation B) Image classification and recognition: Convolutional Neural Networks (CNNs) are primarily used in computer vision tasks such as image classification, object […]
What is Unimodal AI? Unimodal AI refers to an artificial intelligence system that processes and works with only one type of data or modality at a time. In contrast to multimodal AI (which handles multiple data types like text, images, and audio together), unimodal AI focuses on a single source of data. Features of Unimodal […]
Difference Between CNNs and RNNs Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are both types of deep learning models, but they are designed for different tasks and use cases. ‘ Some of the differences are as follows: Architecture CNNs (Convolutional Neural Networks): Designed primarily for image data or data with a grid-like structure. […]
What is AIOps? AIOps stands for Artificial Intelligence for IT Operations. It uses machine learning and artificial intelligence techniques to automate and improve various IT operations tasks. AIOps refers to the application of AI in IT operations to enhance, support, and automate various tasks. It involves strategically using AI, analytics, and machine learning (ML) technologies […]
Difference between Generative AI and Traditional AI Generative AI systems are designed to create new content (text, images, code, etc.) by learning patterns from existing data. It uses deep learning techniques like neural networks to generate outputs that mimic human creativity. It generates outputs that resemble the data it was trained on but are not […]