Codeless Options, Code Generators, Drag n' Drop
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- Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
- Assistants ... Personal Companions ... Agents ... Negotiation ... LangChain
- Excel ... Documents ... Database; Vector & Relational ... Graph ... LlamaIndex
- Artificial Intelligence (AI) ... Generative AI ... Machine Learning (ML) ... Deep Learning ... Neural Network ... Reinforcement ... Learning Techniques
- Artificial General Intelligence (AGI) to Singularity ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
- Azure Machine Learning Studio | Microsoft
- DataRobot
- Neural Architecture
- Ludwig
- Automatic Machine Learning (AutoML) Landscape Survey | Alexander Allen & Adithya Balaji - Georgian Partners
- Large Language Models Surprise Meta AI Researchers at Compiler Optimization! | Janhavi Lande - MarketTechPost
AI options allow users to create applications without writing any code. This is often done through the use of visual programming languages, which allow users to create programs by dragging and dropping pre-built components. AI can be used to power these visual programming languages by providing features such as code completion and syntax highlighting. Some examples:
- Google AppSheet: allows users to create custom mobile apps and web apps without writing any code. AppSheet is a low-code platform that allows users to create custom mobile and web apps without writing any code. It offers a drag-and-drop interface, as well as a number of code generation features. The drag-and-drop interface allows users to create apps by simply dragging and dropping pre-built components onto a canvas. This makes it easy to create apps with a variety of features, such as lists, forms, maps, and charts. AppSheet also offers a number of code generation features. For example, users can generate code to create database tables, API endpoints, and user interfaces. This can be useful for users who want to have more control over the code that is generated for their apps.
- Microsoft Power Apps: allows users to create custom apps, portals, and workflows.
Code generators generate code from natural language descriptions or visual representations. This can be useful for automating tasks such as creating database tables or generating API code. AI can be used to power code generators by using natural language processing techniques to understand the user's intent.
- Copilot: generate code in a variety of programming languages, including Python, JavaScript, and Java.
- TabNine: generate code completions and snippets.
- Kite: generate code completions, snippets, and documentation. Kite is integrated with a number of IDEs, which makes it easy to use while programming
- DeepCode: generate code completions, snippets, and documentation and also offers features such as code analysis and refactoring
Drag-and-drop interfaces allow users to create applications by dragging and dropping pre-built components. This is often used to create web pages and mobile apps. AI can be used to power drag-and-drop interfaces by providing features such as intelligent component placement and automatic code generation.
- Wix: a website builder that allows users to create websites using a drag-and-drop interface.
- Thunkable: is a mobile app builder that allows users to create mobile apps using a drag-and-drop interface.
Uber Ludwig - Python Library
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- Introducing Ludwig, a Code-Free Deep Learning Toolbox | Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - Uber Engineering
DataRobot
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