DeepTeam is a framework to red team LLMs and AI agents.
- llm-guardrails
- llm-red-teaming
- llm-safety
- python
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DeepTeam is a framework to red team LLMs and AI agents.
演示站可以免费使用deepseek-r1满血模型进行AI对话,并支持使用stablediffusion模型画图。本项目是PHP版调用DeepSeek第三方接口进行问答和画图,采用Stream流模式通信,一边生成一边输出。前端采用EventSource,支持Markdown格式解析,支持公式显示,代码有着色处理,支持画图。页面UI简洁,支持上下文连续会话。源码只有几个文件,没用任何框架,支持所有PHP版本,全部开源,极易二开,适合PHP初学者。保姆级教程,账号等周边资源,欢迎进群交流,一切全免费。
Same agent Smaller bill. The tools and infrastructure to get more work from your AI. Fewer tokens. Less compute. Lower cost.
OpenGame: Open Agentic Coding for Games
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
An open-source visual programming environment for battle-testing prompts to LLMs.
A framework for prompt tuning using Intent-based Prompt Calibration
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
Open-source desktop AI agent for tools, files, knowledge, workflows, and real deliverables.
README file generator, powered by AI.
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
한국 문서를 읽고·고치고·새로 쓰는 AI 문서 도구 — HWP·HWPX·PDF·오피스·스캔(OCR)을 Markdown으로, 신구대조·서식 보존 편집·Markdown→HWPX 작성·HWP→HWPX 변환·양식 채우기·공문서 검수까지. 라이브러리·CLI·MCP | Read, diff, edit, write and convert Korean documents (HWP, HWPX, PDF, Office, scans) — library, CLI and MCP server
The pretty much "official" DSPy framework for Typescript
Practical bilingual AI prompt library for prompt engineering, work, learning, content, marketing, and everyday use.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
AI 驱动的学术论文配图生成平台。上传论文 → AI 分析内容生成 Prompt → 一键生成高质量科研配图,还有配套的skill可在主流agent中使用
Unleash Next-Level AI! 🚀 💻 Code Generation: DeepSeek r1 + Claude 3.7 Sonnet - Unparalleled Performance! 📝 Content Creation: DeepSeek r1 + Gemini 2.5 Pro - Superior Quality! 🔌 OpenAI-Compatible. 🌊 Streaming & Non-Streaming Support. ✨ Experience the Future of AI – Today! Click to Try Now! ✨
Reference implementation for DPO (Direct Preference Optimization)