# AI Research

Aya Vision is an advanced visual model developed by the Cohere For AI team, focusing on multilingual and multimodal tasks and supporting 23 languages. The model significantly improves the performance of visual and text tasks through innovative algorithmic breakthroughs such as synthetic annotation, multilingual data augmentation, and multimodal model fusion. Its main advantages include efficiency (performing well even with limited computing resources) and extensive multilingual support. The release of Aya Vision aims to advance the forefront of multilingual and multimodal research and provide technical support to the global research community.

Shandu is an AI-based research system capable of generating comprehensive research reports through multi-source information synthesis and deep iterative exploration. It leverages advanced language models and intelligent web crawling technology to automate the entire process from problem clarification to content analysis. Its main advantages include efficient information integration capabilities, flexible multi-source data processing, and powerful knowledge synthesis capabilities. This product is suitable for scenarios requiring the rapid generation of high-quality research reports, such as academic research, market intelligence analysis, and technological exploration. Currently, this product is an open-source project, and users can customize and extend it according to their needs.

MLGym is an open-source framework and benchmark developed by Meta's GenAI team and the UCSB NLP team for training and evaluating AI research agents. By offering diverse AI research tasks, it fosters the development of reinforcement learning algorithms and helps researchers train and evaluate models in real-world research scenarios. The framework supports various tasks, including computer vision, natural language processing, and reinforcement learning, aiming to provide a standardized testing platform for AI research.

Epoch AI is a research organization focused on critical trends and issues in artificial intelligence, aimed at shaping the trajectory and governance of AI. The organization advances evidence-based discussions on AI through reports, papers, models, and visualization tools. Epoch AI's work is trusted by researchers and media, providing essential resources for understanding the development of AI.

Unify Plays is a business marketing platform that combines AI, automation, and data verification technologies to assist enterprises in crafting and running marketing campaigns that generate leads and drive sales. The main advantage of this platform is its integrated solution, which reduces the dependency on multiple tools in marketing activities, improves efficiency, and enhances customer engagement and conversion rates through AI-driven personalized marketing. Developed by Unify, Unify Plays aims to provide a more efficient and intelligent marketing approach for high-growth companies. Regarding pricing, Unify Plays offers different package options to meet the needs of businesses of varying sizes.

Replio is an AI-driven research platform that assists users in conducting market research with unprecedented efficiency and speed through automated interviews, surveys, and analysis tools. The platform leverages artificial intelligence technology to streamline and naturalize the interview process while providing in-depth analyses and trend insights, aiding businesses in making data-driven decisions. Key advantages of Replio include a user-friendly interface, efficient interview capabilities, flexible analysis tools, and collaboration features. It is ideal for enterprises and teams requiring market research, customer feedback collection, and product improvement decisions.

Sakana AI is an AI research lab located in Tokyo, Japan, focused on creating new types of foundational models inspired by nature. The lab is dedicated to developing advanced artificial intelligence technologies that simulate intelligent behaviors found in the natural world, driving innovation and progress in the field of AI.

Phi-3.5-vision is a lightweight, next-generation multimodal model developed by Microsoft. It is built on a dataset that includes synthetic data and curated publicly available websites, focusing on high-quality, dense reasoning data for both text and visual inputs. This model belongs to the Phi-3 family and has undergone rigorous enhancement processes, combining supervised fine-tuning with direct preference optimization to ensure precise instruction following and robust safety measures.

Profundo is an AI-driven research and reporting tool designed to help users automate data collection, analysis, and reporting processes, allowing them to focus on learning and decision-making. It utilizes cutting-edge AI technology to enhance the efficiency of data collection and reporting while ensuring high accuracy in research. Profundo's user-friendly interface is designed with users' needs in mind, making it easy to navigate and seamlessly integrate with existing tools.

Prov-GigaPath is a whole-slide foundation model for digital pathology research. Trained on real-world data, it aims to support AI researchers in their studies of pathology foundational models and digital pathology slide data encoding. Developed by multiple authors and published in Nature, it is not suitable for clinical care or any clinical decision-making purposes and is restricted to research use only.

GPT Researcher is a leading autonomous research agent, built for multi-agent frameworks, providing real-time, accurate, and factual results. It simplifies data gathering, delivering reliable, aggregated, and structured results with a single function call. It supports over 100 different Large Language Models (LLMs) and can work with any search engine, from Google to DuckDuckGo. Users can effortlessly search local documents and files, and generate reports exceeding 2000 words, supporting exports in various formats such as PDF, Word, Markdown, JSON, and CSV.

This GitHub repository serves as a centralized hub for resources related to generative artificial intelligence, including the latest research papers, interview questions, course materials, and code notebooks. The content is updated regularly to ensure developers and professionals can stay up-to-date with the latest advancements and boost productivity. Key resources include abstracts of papers, categorized interview questions, lists of free courses, and open-source notebooks, as well as usage scenarios and examples.

SceneScript is a novel 3D scene reconstruction technology developed by the Reality Labs research team. This technology utilizes AI to understand and reconstruct complex 3D scenes, enabling the creation of detailed 3D models from a single image. SceneScript significantly enhances the accuracy and efficiency of 3D reconstruction by integrating advanced deep learning techniques such as semi-supervised learning, self-supervised learning, and multi-modal learning.

MNBVC (Massive Never-ending BT Vast Chinese corpus) is a project aimed at providing rich Chinese data for AI. It includes not only mainstream cultural content but also niche cultures and internet slang. The dataset encompasses various forms of pure text Chinese data, such as news, essays, novels, books, magazines, papers, dialogues, posts, wikis, ancient poems, lyrics, product descriptions, jokes, anecdotes, and chat logs.