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Description

Bluedoor serves as a comprehensive data API platform that prepares global data for AI applications by transforming disparate records into organized and accessible datasets spanning various sectors such as finance, recruitment, legal affairs, real estate, and more. The platform efficiently manages the intricate tasks of sourcing, cleansing, structuring, and providing data via APIs that can be utilized directly by agents, developers, and organizations within their products, workflows, and research methodologies. It boasts a variety of live datasets that include financial data, job advertisements, Airbnb listings, registered contractors, H-1B employment opportunities, properties in Florida, and records from the San Francisco Superior Court. Among its offerings, the Financial Data API delivers both real-time and historical insights on a vast array of public assets, featuring hundreds of routes and accessing 26 independent sources, covering over 100,000 instruments that include equities, ETFs, options, futures, commodities, interest rates, foreign exchange, and indices. This extensive range of data empowers users to make informed decisions based on up-to-date information tailored to their specific needs.

Description

Fine-tuning involves utilizing a dataset to develop a model compatible with AI applications. Achieving this can be challenging without programming skills, which is why we've integrated a straightforward solution into RIku that simplifies the entire process. By leveraging fine-tuning, you can tap into an enhanced level of AI capabilities, and we are thrilled to support you in this journey. Additionally, Public Share Links serve as unique landing pages that can be created for any prompts you design. These pages can be customized to reflect your brand identity, featuring your choice of colors, logo, and personalized welcome messages. You can share these links publicly, allowing others to access them and generate content if they possess the necessary password. This feature acts as a micro-scale, no-code writing assistant tailored for your audience! One notable challenge we've encountered in projects utilizing various large language models is the subtle variations in their output, which can sometimes lead to inconsistencies. By addressing these discrepancies, we aim to streamline the user experience and enhance the coherence of generated content.