Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Tencent HY / Hunyuan docs provides machine-learning models, research, training resources, or evaluation tools.
The Age of AI has begun Bill Gates provides machine-learning models, research, training resources, or evaluation tools.
The Dark Risk of Large Language Models WIRED UK provides machine-learning models, research, training resources, or evaluation tools.
The Hugging Face Open LLM Leaderboard provides machine-learning models, research, training resources, or evaluation tools.
unpkg.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.
Vals AI provides machine-learning models, research, training resources, or evaluation tools.
Vortic provides machine-learning models, research, training resources, or evaluation tools.
VoxelBench provides machine-learning models, research, training resources, or evaluation tools.
We must stop AI replicating the problems of surveillance capitalism provides machine-learning models, research, training resources, or evaluation…
Web provides machine-learning models, research, training resources, or evaluation tools.
What ChatGPT and generative AI mean for science Nature provides machine-learning models, research, training resources, or evaluation tools.
What We Know About LLMs (Primer) provides machine-learning models, research, training resources, or evaluation tools.
Where AI evolves from here provides machine-learning models, research, training resources, or evaluation tools.
A work-in-progress inpainting branch of Stable Diffusion, published as a public Replicate model. The model runs on Nvidia A100 (80GB) GPU hardware and predictions typically complete within 11 seconds. It costs approximately $0.015 to run on Replicate, or 66 runs per $1. It is open source and can be run on a computer with Docker.
Falcon LLM is described as a generative large language model that supports applications and use cases. The site presents models in the Falcon LLM family, including Falcon-H1 and Falcon-E, and lists Falcon-H1 model insights. It also references Falcon Arabic for Modern Standard Arabic and dialects, and names Falcon-Emirati, Falcon-ASR and Falcon-OCR-Arabic.
Guild is a vendor-neutral control plane for AI agents. It lets engineering teams manage, govern, and share agents in production, with security and observability built in. Features include scoped credentials, action approval, policy enforcement, tracing, and evaluations. It supports any model or framework and provides a shared agent catalog and CLI access.
H2O AutoML is an open-source automatic machine learning tool developed by H2O.ai. It automatically generates features and selections for model building with no coding required. It is part of the H2O.ai platform, with offerings designed for model builders, data scientists, and enterprise developers.
MathArena evaluates large language models on uncontaminated math benchmarks. It presents model analysis across competitions such as ArXivLean, BrokenArXiv, ArXivMath, Visual Math, Final-Answer Comps, Proof-Based Comps and Project Euler. A competition is selected to load tables and a leaderboard, and clicking a cell shows the raw model output.
NExT-Chat is a large multimodal model trained using the pixel2emb method, in which the model outputs location embeddings decoded by different decoders. This allows bounding boxes and masks in multimodal conversations and supports tasks such as visual grounding, region caption and grounded reasoning.
Nexusflow/NexusRaven-V2-13B is a 13-billion parameter language model available on Hugging Face. It is designed for zero-shot function calling and text generation, aiming to advance open-source artificial intelligence. The model can be used with libraries such as Transformers and provides instructions for deployment via inference providers, notebooks, and local applications.
Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.
Pipeline Conversations is a podcast from ZenML featuring interviews with platform engineers, ML practitioners and technical leaders building production AI systems. Episodes cover MLOps and LLMOps topics including Kubernetes workflows, model fine-tuning and evaluation, LLM security, cost optimization, prompt engineering and agents in production.