List of AI Tools for MVP

TensorFlow – An open-source platform by Google for machine learning, TensorFlow is highly versatile, allowing you to build and deploy machine learning models quickly. It’s especially useful for deep learning applications.

Hugging Face – Known for its Transformers library, Hugging Face provides state-of-the-art models for NLP tasks like text classification, summarization, and translation. It also offers tools for training and deploying models.

OpenAI Codex – The engine behind GitHub Copilot, OpenAI Codex is an AI tool that helps with code generation, making it easier to implement AI in software development without needing to be an AI expert.

DataRobot – This platform automates the end-to-end process of building, deploying, and maintaining machine learning models, making it an excellent choice for businesses looking to quickly implement AI.

Azure AI – Part of Microsoft’s cloud platform, Azure AI provides a wide range of AI services, including pre-built models and tools for building custom machine learning models, ideal for rapidly developing MVPs.

Chatgpt Prompt Used: List some AI tools and libraries that are useful for MVP development, along with a brief description of each.