Jacob Ry@jacob_r441
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Retriever AI
Retriever AI is an innovative software solution that leverages cutting-edge artificial intelligence technology to revolutionize the way users interact with their Windows operating systems. By leveraging the capabilities of OpenAl's Whisper Automatic Speech Recognition (ASR) system and ElevenLabs' advanced interaction the application delivers a transformative user experience. Users can interact with their computers using natural spoken language, receive auditory feedback, and carry out tasks without the traditional visual interfaces. At its core, Retriever AI is powered by advanced machine learning algorithms that enable it to understand and respond to user commands effectively. With a simple "Start" command, users can invoke Retriever AI to assist them in navigating their system, opening applications, searching for files, and much more. It is like having a personal assistant dedicated to making your computer interactions more efficient and enjoyable. The software is designed with a user-friendly interface that is easy to start and stop, and it's designed to be almost hands-free from the keyboard. Its design is meant for the visually impaired and blind, and it's geared toward being able to complete normal functions using natural language. In a digital world where efficiency and user experience are of utmost importance, Retriever AI serves as a valuable tool for enhancing productivity, simplifying tasks, and creating a more intuitive interaction between users and their Windows systems even if you aren't visually impaired or blind. Whether you're a professional looking for a smarter way to navigate your workspace, a student aiming for better efficiency, or just a casual user hoping to get more out of your system, Retriever AI is designed to meet your needs.
1 Aug 2023
Earningly
Our project is centered around designing an innovative Natural Language Processing tailored to process and understand financial data. To achieve this, we're utilizing artificial intelligence technologies provided by Google, and harnessing rich data from the U.S. Securities and Exchange Commission (SEC). We've chosen Google's PaLM 2 as our main NLP model due to its state-of-the-art capabilities in language interpretation. NLP, an AI discipline, empowers computers to comprehend and interact with human language. With its understanding of language nuances, PaLM 2 can interpret and process financial documents, and it can then fetch and rephrase information to the user. At the heart of our project are SEC filings, including forms 10-K, 10-Q, and 8-K. To ensure our system always accesses the most recent data, we're tapping into the SEC's EDGAR system. EDGAR, or Electronic Data Gathering, Analysis, and Retrieval system, is a digital database provided by the SEC. This platform is where all U.S. publicly traded companies are mandated to submit their regulatory filings. These documents are essential sources of financial data. The 10-K form provides a comprehensive annual overview of a company's financial performance. The 10-Q form updates on the company's financial status on a quarterly basis, while the 8-K reports unscheduled material events or corporate changes that could be significant to shareholders or the SEC. Through processing these forms, our system can extract crucial financial details for each company, such as revenue, net income, and cash flow. This extraction is invaluable for investors, analysts, and financial institutions who need the most current, detailed financial information to make informed decisions. In addition, these filings are often hundreds of pages long, so an LLM that integrates directly into the source of the filing can efficiently fetch relevant information for our users.
10 Jul 2023
