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EasyJailbreak: A Python Framework for Adversarial LLM Jailbreak Prompts
EasyJailbreak is an intuitive Python framework designed for generating adversarial jailbreak prompts for Large Language Models (LLMs). It provides a structured approach to decompose the jailbreaking process into iterative steps, offering components for mutation, attack, and evaluation. This tool is ideal for researchers and developers focused on LLM security and understanding model vulnerabilities.
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EasyJailbreak: A Python Framework for Adversarial LLM Jailbreak Prompts
EasyJailbreak is an intuitive Python framework designed for generating adversarial jailbreak prompts for Large Language Models (LLMs). It provides a structured approach to decompose the jailbreaking process into iterative steps, offering components for mutation, attack, and evaluation. This tool is ideal for researchers and developers focused on LLM security and understanding model vulnerabilities.
Guardrails: Enhancing LLM Reliability and Structured Data Generation
Guardrails is a Python framework designed to build reliable AI applications by adding guardrails to large language models. It helps detect, quantify, and mitigate risks in LLM inputs/outputs, and facilitates the generation of structured data. This framework ensures more predictable and safer interactions with AI models.
Hiring Agent: An AI Agent for Resume Evaluation and Scoring
Hiring Agent is an open-source AI agent designed to evaluate and score resumes objectively. It extracts structured data from PDF resumes, enriches it with GitHub profile signals, and provides a fair, explainable evaluation with detailed scores and evidence. This tool supports both local LLMs via Ollama and cloud-based options like Google Gemini.
LLM Guard: The Security Toolkit for LLM Interactions
LLM Guard is an open-source security toolkit developed by Protect AI, designed to fortify the safety of Large Language Models. It offers comprehensive protection against various threats, including prompt injection, data leakage, and harmful language, ensuring secure and reliable LLM interactions.
AuditNLG: Auditing Generative AI for Trustworthiness
AuditNLG is an open-source library from Salesforce designed to enhance the trustworthiness of generative AI language models. It provides state-of-the-art techniques to detect and improve factualness, safety, and constraint adherence in AI-generated text. This library simplifies the process of auditing AI outputs, offering explanations and alternative suggestions for problematic content.
Odysseus: A Comprehensive Self-Hosted AI Workspace for Productivity
Odysseus is a powerful self-hosted AI workspace designed to integrate various AI-powered tools into a single platform. It offers functionalities for chat, agents, deep research, document management, email, and calendar, supporting both local and API models. This comprehensive solution aims to enhance productivity and streamline AI workflows in a private environment.
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No-as-a-Service: A Fun API for Random Rejection Reasons
No-as-a-Service (NaaS) is a unique API that delivers random, creative, and often humorous rejection reasons. It's perfect for developers and users who need a witty excuse, a playful 'no,' or want to simulate being turned down in a lighthearted way. This simple service adds a touch of humor and practicality to any application or scenario.
Ollama-OCR: Advanced OCR with Vision Language Models via Ollama
Ollama-OCR is a robust Python package and Streamlit application for Optical Character Recognition. It leverages state-of-the-art vision language models, accessible through Ollama, to accurately extract text from both images and PDF documents. The tool offers extensive features including support for multiple models, various output formats, and batch processing capabilities.
TSyringe: Lightweight Dependency Injection for TypeScript/JavaScript
TSyringe is a lightweight dependency injection (DI) container developed by Microsoft for JavaScript and TypeScript applications. It provides a robust solution for managing class dependencies, making your codebase more modular, testable, and maintainable. By leveraging decorators, TSyringe simplifies the process of injecting dependencies into your classes, adhering to the Inversion of Control (IoC) principle.
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