Aug 25, 2023 · The super.AI Python library provides access to the super.AI API via Python and our command line interface (CLI). Full details on our API are listed in our API reference . For data programmers, we also offer the Data Program Builder.

The super.AI Data Program Builder is a Python SDK that lets you create your own Data Programs. Take a look at our full documentation.

Learn how to submit jobs to the super.AI platform using Python. The super.AI API provides programmatic access to super.AI. In this guide, you will get set up by submitting some jobs using Python and viewing them in your dashboard. This guide uses Python, but you can also interact with our API using cURL or the super.AI CLI.

Jun 6, 2024 · Python offers a plethora of libraries and frameworks for building AI applications. Choose the ones that best suit your project requirements. Common choices include: TensorFlow and PyTorch: For deep learning models. scikit-learn: For traditional machine learning algorithms. NLTK and spaCy: For natural language processing.

We offer instructions for cURL, Python, and our CLI. You can view code examples within the right-hand column. First time using our API? Take a look at our getting started guides. New to APIs in general? Learn the basics with our Introduction to REST APIs. Welcome to the super.AI API.

Here, we outline foundational steps and considerations to show how Python can open doors to AI-powered solutions for your business. A carefully selected generative model allows companies to reach specific goals, boost productivity, and engage customers successfully.

Feb 5, 2025 · Whether you are developing a virtual assistant, a task automation bot, or an AI-powered recommendation system, understanding how to build a simple AI agent is a great starting point. In this...

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May 23, 2023 · SuperAGI is an open-source platform providing infrastructure to build autonomous AI agents. Designed to run multiple agents concurrently, SuperAGI's diverse set of features and tools allows developers to spawn, deploy, and manage AI agents with ease. This article will walk you through the initial setup and configuration of SuperAGI.

18 hours ago · Versatile: Python supports various libraries and frameworks like TensorFlow, Keras, Scikit-Learn, and PyTorch, which are tailored for AI and machine learning tasks.; Extensive Community Support: Python’s large and active community ensures a wealth of resources, tutorials, and documentation to guide you along the way.; In this tutorial, we will focus on building a simple machine learning ...