A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container.

🚀 The fast, Pythonic way to build MCP servers and clients

A LLM-free library for extracting main content from HTML strings via Text Density analysis

Build Real-Time Knowledge Graphs for AI Agents

⏩ Ship faster with Continuous AI. Open-source CLI that can be used in TUI mode as a coding agent or Headless mode to run background agents

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)

Fully open reproduction of DeepSeek-R1

verl: Volcano Engine Reinforcement Learning for LLMs

Python wrapper for the arXiv API

A bibliography and survey of the papers surrounding o1

Entropy Based Sampling and Parallel CoT Decoding

Mirage Persistent Kernel: Compiling LLMs into a MegaKernel

Attribute (or cite) statements generated by LLMs back to in-context information.

Efficient Triton Kernels for LLM Training

[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

LLM101n: Let's build a Storyteller

Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance. Accepted to ACL 2024.

Self-Consistent Decoding for More Factual Open Responses

A blazing fast inference solution for text embeddings models

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

RoleInteract: Evaluating the Social Interaction of Role-Playing Agents

Structured Outputs

Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Easily embed, cluster and semantically label text datasets

[ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

Large World Model -- Modeling Text and Video with Millions Context

Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"