The case against AI-generated users is an IDEO journal article that explores the use of AI-generated synthetic users for design research. It discusses alternative methods to meet research goals, compares the value of traditional design research to outputs from large language models, and offers forward-looking perspectives on design research practices.
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Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).
Local Deep Research is a tool that achieves approximately 95% accuracy on the SimpleQA benchmark, with an example run using Qwen3.6-27B on an RTX 3090. It supports all local and cloud LLMs including llama.cpp, Ollama, and Google models, integrates over 10 search engines such as arXiv, PubMed, and private document sources, and operates with local and encrypted processing.
Cortexa provides machine-learning models, research, training resources, or evaluation tools.
dowel is a logger for machine learning research. It is installed with pip and used by importing dowel and adding outputs such as StdOutput and TensorBoardOutput, then logging messages and tabular records during training runs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Scala Library/REPL for Machine Learning Research.
Autograd and XLA for high-performance machine learning research.
Moonshot AI is a GitHub organization focused on AI and machine learning research and development. As of the listing snapshot, it hosts 42 public repositories, with areas of work including research, benchmarks, agents, service infrastructure, and community engagement, and its code is available on GitHub.
Helps find, analyze or synthesize information for research and knowledge discovery.
A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.
Ability AI provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Adept AI provides machine-learning models, research, training resources, or evaluation tools.
This is a Scaler blog category page collecting articles on artificial intelligence and machine learning. Posts listed include MLOps projects, becoming an AI research scientist, model drift detection and monitoring, and retrieval-augmented generation evaluation metrics. The page also links to categories such as software development and data science, and offers career counselling.
AI Risks that Could Lead to Catastrophe is a CAIS resource focused on mitigating AI risks that could cause catastrophic societal harm. It covers four key risk categories: malicious use, AI race, organizational risks, and rogue AIs. CAIS conducts related research, field-building, and advocacy projects, and operates a compute cluster to support this work.
AI Today provides machine-learning models, research, training resources, or evaluation tools.
AI Worship Marginal REVOLUTION provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Ai2 Playground provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A super-easy way to record, search and compare 1000s of ML training runs.
Airweave is an open-source context retrieval layer for AI agents. It aims to provide relevant context to support agent functionalities. The project is hosted on GitHub by the airweave-ai organization.