{"id":50799038,"url":"https://github.com/nv78/anote-ai","last_synced_at":"2026-06-12T17:30:52.728Z","repository":{"id":344389156,"uuid":"1181636273","full_name":"nv78/anote-ai","owner":"nv78","description":"Reference Page for Anote","archived":false,"fork":false,"pushed_at":"2026-03-14T12:20:54.000Z","size":15,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-03-14T23:26:52.658Z","etag":null,"topics":["agents","ai","data-labeling","deep-learning","evaluation","machine-learning","nlp","reinforcement-learning"],"latest_commit_sha":null,"homepage":"https://anote.ai/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nv78.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-14T12:18:03.000Z","updated_at":"2026-03-14T12:22:14.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/nv78/anote-ai","commit_stats":null,"previous_names":["nv78/anote-ai"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/nv78/anote-ai","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nv78%2Fanote-ai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nv78%2Fanote-ai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nv78%2Fanote-ai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nv78%2Fanote-ai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nv78","download_url":"https://codeload.github.com/nv78/anote-ai/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nv78%2Fanote-ai/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34256180,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-12T02:00:06.859Z","response_time":109,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agents","ai","data-labeling","deep-learning","evaluation","machine-learning","nlp","reinforcement-learning"],"created_at":"2026-06-12T17:30:51.725Z","updated_at":"2026-06-12T17:30:52.723Z","avatar_url":"https://github.com/nv78.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Anote – Human-Centered AI\n\n**Founder:** Natan Vidra  \n\n**GitHub:** https://github.com/nv78  \n\n**Organization:** https://github.com/anote-ai\n\n**Website:** https://anote.ai  \n\nAnote is an **applied artificial intelligence research company based in New York City**. Anote builds AI technology to provide high quality datasets and evaluations for leading enterprises, federal clients, and model providers.\n\nThe company develops **Human-Centered AI systems** designed to make AI more reliable, explainable, and effective for real-world use. Anote builds infrastructure that supports the **entire AI / ML lifecycle**, including:\n\n- Data curation and dataset creation  \n- Data annotation and human feedback pipelines  \n- Synthetic data generation  \n- Model training and fine-tuning  \n- Model inference and evaluation  \n- Retrieval-Augmented Generation (RAG) systems  \n- Multi-agent AI frameworks  \n- Private AI assistants and on-premise deployments  \n\nAnote collaborates with **enterprises, federal organizations, and AI research communities** to develop systems that enable the safe and effective use of AI technologies.\n\n---\n\n# Anote Core Products\n\nAnote develops a set of products that together provide a **full-stack AI platform for building, evaluating, and deploying AI systems**.\n\n| Product | GitHub Repository | Overview | Status | Link |\n|---|---|---|---|---|\n| **MLOps Platform** | https://github.com/anote-ai/OpenAnote | End-to-end MLOps platform supporting data annotation, dataset creation, model training, fine-tuning, evaluation, and chatbot deployment. | Production | https://dashboard.anote.ai |\n| **Research** | https://github.com/anote-ai/Research | Code supporting Anote research publications and experiments in human-centered AI. | POC | https://anote.ai/research |\n| **Model Leaderboard** | https://github.com/anote-ai/Leaderboard | Evaluation infrastructure for benchmarking large language models with evolving datasets and expert evaluations. | POC | https://anote.ai/leaderboard |\n| **Synthetic Data** | https://github.com/anote-ai/Synthetic-Data | Tools for generating synthetic datasets across modalities including text, image, and audio. | POC | https://anote.ai/syntheticdata |\n| **Private Chatbot** | https://github.com/anote-ai/PrivateGPT | Secure private AI chatbot designed for enterprise and on-premise deployment. | POC | https://anote.ai/downloadprivategpt |\n| **Panacea (Autonomous Intelligence)** | https://github.com/anote-ai/Autonomous-Intelligence | Multi-agent AI framework for agent orchestration, reasoning, and autonomous task execution. | Production | https://chat.anote.ai |\n| **Armor (Community Platform)** | https://github.com/anote-ai/Community | Community and collaboration platform for AI research, events, and knowledge sharing. | Production | https://community.anote.ai |\n\n---\n\n# Open Source Projects\n\nThese repositories contain open-source tools, research prototypes, and experimental systems from the Anote ecosystem.\n\n## Autonomous Intelligence\nFramework for building **collaborative multi-agent AI systems** capable of reasoning, planning, and executing tasks autonomously.\n\nhttps://github.com/anote-ai/Autonomous-Intelligence\n\nTopics:\n\n- multi-agent systems  \n- reinforcement learning  \n- deep learning  \n- natural language processing  \n- automation  \n- multimodal AI  \n\n---\n\n## Synthetic Data\n\nSynthetic dataset generation tools designed to improve AI training and evaluation workflows.\n\nhttps://github.com/anote-ai/Synthetic-Data\n\n---\n\n## OpenAnote\n\nEducational materials and machine learning tutorials demonstrating how to build **human-centered AI systems**.\n\nhttps://github.com/anote-ai/OpenAnote\n\n---\n\n## Agentic Chatbot\n\nExperimental framework for building **agentic AI chatbot systems** and conversational AI platforms.\n\nhttps://github.com/anote-ai/Agentic-Chatbot\n\n---\n\n## Model Leaderboard\n\nBenchmarking platform designed to evaluate and compare AI models across evolving datasets.\n\nhttps://github.com/anote-ai/Leaderboard\n\n---\n\n## FinanceGPT\n\nPrototype system exploring AI applications for financial analysis and document understanding.\n\nhttps://github.com/anote-ai/FinanceGPT\n\n---\n\n## PrivateGPT\n\nSecure architecture for building private AI chatbots capable of interacting with internal documents.\n\nhttps://github.com/anote-ai/PrivateGPT\n\n---\n\n## NASA Beyond the Algorithm\n\nResearch experiments exploring algorithmic reasoning and advanced AI systems.\n\nhttps://github.com/anote-ai/NASA-BeyondTheAlgorithm\n\n---\n\n## Turtlebot Robot\n\nRobotics experiments involving autonomous navigation and AI-powered decision systems.\n\nhttps://github.com/anote-ai/Turtlebot-Robot\n\n---\n\n## Autonomous AI Newsletter\n\nContent and experiments related to autonomous AI systems and agentic intelligence.\n\nhttps://github.com/anote-ai/Autonomous-AI-Newsletter\n\n---\n\n# Educational Repositories\n\nThese repositories support **AI education initiatives, fellowships, and research training programs**.\n\n- https://github.com/anote-ai/btt-anote1a  \n- https://github.com/anote-ai/btt-anote1b  \n- https://github.com/anote-ai/btt-anote2a  \n- https://github.com/anote-ai/btt-anote2b  \n- https://github.com/anote-ai/BTT-Anote-1A-2024  \n- https://github.com/anote-ai/BTT-Anote-1B-2024  \n- https://github.com/anote-ai/BTT-Anote-1C-2024  \n\nThese projects demonstrate applications of **machine learning, natural language processing, and AI system design** in educational environments.\n\n---\n\n# Research Publications\n\nAnote conducts research in **human-centered AI, machine learning optimization, and retrieval-augmented generation systems**.  \nThe following publications describe some of the core research contributions from the Anote team.\n\n---\n\n## Improving Classification Performance with Human Feedback  \n**Authors:** Chung, E., Zhang, L., Jijo, K., Clifford, T., \u0026 Vidra, N.  \n**Year:** 2024  \n\nThis paper introduces a framework for improving classification performance using **human-in-the-loop learning**.  \nBy labeling a small subset of examples, the system can automatically infer labels for the remaining data while maintaining high accuracy.\n\nPaper:  \nhttps://arxiv.org/abs/2401.09555\n\n---\n\n## Enhancing Large Language Model Performance to Answer Questions and Extract Information More Accurately  \n**Authors:** Jijo, K., Setty, S., Chung, E., Vidra, N., \u0026 Clifford, T.  \n**Year:** 2024  \n\nThis work explores techniques for improving the performance of large language models in **question answering and information extraction tasks**.  \nThe research focuses on methods that combine structured prompts, evaluation workflows, and model optimization strategies.\n\nPaper:  \nhttps://arxiv.org/abs/2402.01722\n\n---\n\n## Improving Retrieval for RAG-Based Question Answering Models on Financial Documents  \n**Authors:** Setty, S., Thakkar, H., Lee, A., Chung, E., \u0026 Vidra, N.  \n**Year:** 2024  \n\nThis paper investigates improvements to **retrieval systems used in Retrieval-Augmented Generation (RAG)** pipelines.  \nThe research focuses on financial document analysis and demonstrates methods for improving the accuracy of question answering systems operating on complex financial datasets.\n\nPaper:  \nhttps://arxiv.org/abs/2404.07221\n\n---\n\n# Resources\n\n| Resource | Link |\n|---|---|\n| Website | https://anote.ai |\n| Documentation | https://docs.anote.ai |\n| GitHub Organization | https://github.com/anote-ai |\n| Blog | https://anote.ai/blog |\n| LinkedIn | https://www.linkedin.com/company/anote-ai |\n| YouTube | https://www.youtube.com/@anote-ai/videos |\n| X (Twitter) | https://x.com/anote_tech |\n| TikTok | https://www.tiktok.com/@anote.ai |\n| Instagram | https://www.instagram.com/anote.tech |\n\n---\n\n# Contact\n\nFor research collaborations, partnerships, or enterprise deployments:\n\nnvidra@anote.ai\n\n---\n\n# About This Repository\n\nThis repository serves as a **central index connecting the Anote ecosystem** with the personal GitHub profile of **Natan Vidra (nv78)**.\n\nAll primary development occurs in the **Anote AI GitHub organization**:\n\nhttps://github.com/anote-ai\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnv78%2Fanote-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnv78%2Fanote-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnv78%2Fanote-ai/lists"}