Browse the complete library of AI and AI-related tools and resources below. Use the search bar below to find a tool fast or go back to the main AI tools and resource hub for filtering options. Every item has its own dedicated page for context, notes, and the outbound link.
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Sensay is a platform that utilizes AI technology to enable users to create virtual replicas of themselves, facilitating the preservation and sharing of personal wisdom through humanlike AI.
Speechmatics provides an API that enables developers to integrate advanced speech recognition and voice interaction capabilities into their products, ensuring inclusive and responsive user experiences.
This report evaluates the performance of leading AI models in utilizing external data through Retrieval Augmented Generation (RAG), providing insights into their capabilities and limitations.
SF3D provides a solution for 3D mesh reconstruction from 2D images, enabling UV-unwrapping and illumination disentanglement, which is essential for creating virtual objects suitable for AR/VR applications.
This page provides an overview of prompt engineering specifically for Claude, an AI developed by Anthropic. It includes guidance on crafting effective prompts and features a prompt generator to assist users in developing their own prompts.
Muzaic AI offers a platform for creating custom music tailored to your Canva videos, allowing users to select moods and adjust intensity for a personalized soundtrack. It also provides high-quality, royalty-free audio exports and an API for developers.
Scan My Kitchen is an app that helps users decide what to cook by allowing them to take a picture of the ingredients in their fridge. It generates meal ideas based on the available items, making meal planning easier and more efficient.
Korbit is an AI-powered code reviewer designed to streamline software development by eliminating pull request backlogs and assisting in debugging. It leverages artificial intelligence to enhance the code review process, making it more efficient and effective for developers.
This Stanford paper discusses the societal implications of open foundation models, focusing on their benefits and risks, particularly concerning widely available model weights. It provides an in-depth analysis of how these models can influence various aspects of society.