NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
- agents
- guardrails
- python
- safety
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NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
Democratizing Reinforcement Learning for LLMs
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
A visual playground for agentic workflows: Iterate over your agents 10x faster
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models.
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
The easiest way to use Agentic RAG in any enterprise
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
A simple, easy-to-hack GraphRAG implementation
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Easiest and laziest way for building multi-agent LLMs applications.
Simple RL training for reasoning
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
OpenDeepWiki is the open-source version of the DeepWiki project, aiming to provide a powerful knowledge management and collaboration platform. The project is mainly developed using C# and TypeScript, supporting modular design, and is easy to expand and customize.
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Comet: agent skill harness for turning ideas into evaluated workflows