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Velvet
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Velvet is an AI-first data pipeline tool designed to help software engineers warehouse large language model (LLM) requests and responses by storing them in a PostgreSQL database. With Velvet, users can capture every raw LLM log, store and analyze data to evaluate AI feature performance, optimize costs, and fine-tune models tailored to their system's needs. It offers a queryable data structure for in-depth analysis and provides an automated evaluation loop to consistently improve and trust AI features. Engineers might want to use Velvet to resolve issues, evaluate and optimize models, and prepare data for training their own models, making it a valuable asset for anyone looking to harness the full potential of AI in their software applications.
Atlas
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Atlas is a school AI assistant designed to provide students with accurate and personalized help by studying their specific class materials, including lectures, textbooks, readings, homework, and tests. It can solve problems, assist in learning concepts, aid in drafting documents such as memos, help with math, and facilitate study and collaboration. Students might want to use Atlas to get reliable answers tied directly to their coursework, save time on homework, improve their understanding of challenging topics, and ultimately achieve higher grades. Its ability to integrate seamlessly with class resources and provide customized support makes it particularly valuable for those looking to enhance their academic performance.
Food Mood is a fusion recipe generator powered by Google AI, allowing users to combine two different cuisines into one dish. By selecting a meal type (starter, soup, main course, or dessert) and two countries, users can create unique recipes. The tool also accommodates dietary preferences and specific ingredient choices. This experiment, created by Gaël Hugo and Emmanuel Durgoni, utilizes Gemini 1.0 Pro via VertexAI for recipe generation and Google AI for image creation. It aims to inspire culinary creativity, though the recipes are not chef-tested, so users should prioritize food safety. More details can be found on Google AI Policy.
