Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
C, C++, and Python tools for named entity recognition and relation extraction.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Join the discussion on this paper page.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Risks and mitigations for developing and deploying generative AI applications.
Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
Fast and simple framework for building and running distributed applications.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
Simple and efficient library to minimize expensive and noisy black-box functions.
An open-source tool for recording screen and audio activity with AI-powered search, automations, and support for local LLMs. opensource.
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
Who is Afraid of Frankenstein? And of Generative AI?
AI-generated stock photos, 3D icons & mockups. Choose from a large library and edit with AI. Free to browse and download.