As artificial intelligence becomes more integrated into our lives Nathan-Paul has tested the top AI software to help you increase your productivity and automate tasks. Artificial intelligence software can be grouped into 5 main categories chatbots, AI platforms, machine learning platforms, deep learning solutions, and generative AI software is designed to mimic human intelligence and improve operational tasks these features vary based on different AI software
CHATBOTS
When anyone thinks of AI software the first name that comes to mind is ChatGPT which is developed by Open AI and was launched November 30, 2022. ChatGPT is a chatbot and virtual assistant and can be accessed online by visiting CHATGPT or by downloading the app. Simply signup for an account and ask ChatGPT for help on a meal plan for the week, or ideas for your next side hustle.
The other chatbot you may have used is Copilot from Microsoft which was launched in February 2023 and is available on Windows 11, Microsoft 365 software, and Microsoft Edge browser. Microsoft Copilot is an artificial intelligence assistant aiming to simplify workflow and boost your performance.
AI PLATFORMS
AI platforms are simply defined as a collection of software developed to train and run machine learning models and also create, evaluate, implement and update machine learning models in a more scalable way.
Microsoft Azure AI helps developers quickly create smart applications customizable APIs and models. Azure AI provides users with tools that can be used to create innovative solutions using machine learning, natural language processing (NLP), computer vision, and more.
Google AI Platform offers a whole suite of tools and services called Google AI Platform that are used to create, implement, and oversee machine learning and artificial intelligence models. It enables programmers to create and grow machine learning applications using Google Cloud’s infrastructure.
MACHINE LEARNING PLATFORMS
Machine learning platform is a technology that lets you create and implement machine learning models rapidly and simply, often requiring little to no coding.
TensorFlow is an open-source machine learning platform and framework that consists of Python and Java-based libraries and tools. Its main goal is to train deep learning and machine learning models on data.
IBM WATSONX with its generative AI and automation capabilities, IBM Watsonx enables you to stream line intricate procedures, automating repetitive operations, and ultimately saving you and your team time and effort.
DEEP LEARNING SOLUTIONS
Deep Learning applies machine learning techniques to deep convolutional neural networks (CNNs), simulating human decision-making, in order to tackle practical issues. Thus, deep learning trains the machine to do activities that the human brain completes on auto-pilot.
Apple employs the open-source Deep Learning Kit software for a variety of its products, such as iOS, OS X, tvOS, and others. All Apple devices with GPUs can use this deep learning framework since it supports pre-trained deep learning models.
World-class AI models and software applications may be easily created by developers using H20.AI, a free and open-source deep learning platform. All popular machine learning tools and statistical methods, including deep learning models, are supported by the software platform.
GENERATIVE AI SOFTWARE
Artificial intelligence technology known as “generative AI” is capable of producing text, images, audio, and synthetic data, among other kinds of content.
The state-of-the-art generative AI model DALL-E2 is quite good at picture synthesis. It gives designers and artists the freedom to experiment with new creative mediums by transforming text into visually engaging images. Notable accomplishments include creating original artwork and personalized photos.
The ability to create lifelike films using text inputs is what makes SYNTHESIA AI revolutionary in the content creation space. It converts knowledge into captivating visual experiences by skillfully fusing text with realistic pictures using cutting-edge deep learning techniques.
