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A pattern-based approach to learn technical interview questions
A lightweight, powerful framework for multi-agent workflows
A character-level language diffusion model trained on Tiny Shakespeare
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
Train transformer language models with reinforcement learning.
Build data processing and data analysis pipelines that leverage the power of LLMs 🧠
Hierarchical Reasoning Model Official Release
Cellular Automata Accelerated in JAX (Oral at ICLR 2025)
Continuous Thought Machines, because thought takes time and reasoning is a process.
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
combine neural nets and cellular automata
A visual playground for agentic workflows: Iterate over your agents 10x faster
Undetected NodeJS version of the Playwright testing and automation library.
Learning in infinite dimension with neural operators.
Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.
🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.
A benchmark to evaluate language models on questions I've previously asked them to solve.
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.