Best AI tools for< Refute Claim >

VerifactAI is a tool that helps users verify facts. It is a web-based application that allows users to input a claim and then provides evidence to support or refute the claim. VerifactAI uses a variety of sources to gather evidence, including news articles, academic papers, and social media posts. The tool is designed to be easy to use and can be used by anyone, regardless of their level of expertise.

Curious Refuge is the world's first home for AI filmmaking, offering online courses and resources for individuals interested in utilizing artificial intelligence to create films, advertising campaigns, documentaries, and more. The platform aims to empower users to tell compelling stories through the innovative use of AI technology, catering to filmmakers, agencies, and enthusiasts alike. With a global network of AI artists and a focus on community engagement, Curious Refuge is at the forefront of the future of storytelling.

SpoiledChild is a skincare and haircare brand that uses AI to personalize product recommendations for its customers. The company's products are designed to help people look and feel younger, and they are made with high-quality ingredients that are free of harsh chemicals. SpoiledChild offers a wide range of products, including serums, moisturizers, masks, and supplements. The company also has a team of experts who can provide personalized advice on how to use their products. SpoiledChild is committed to sustainability, and they use recycled materials in their packaging and offer a refill program for their products.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Garak is a free tool that checks if a Large Language Model (LLM) can be made to fail in a way that is undesirable. It probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. Garak's a free tool. We love developing it and are always interested in adding functionality to support applications.

Garak is a vulnerability scanner designed for LLMs (Large Language Models) that checks for various weaknesses such as hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks. It combines static, dynamic, and adaptive probes to explore vulnerabilities in LLMs. Garak is a free tool developed for red-teaming and assessment purposes, focusing on making LLMs or dialog systems fail. It supports various LLM models and can be used to assess their security and robustness.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

This repository provides a collection of tools and techniques for defending against injection attacks in software applications. It includes code samples, best practices, and guidelines for implementing secure coding practices to prevent common injection vulnerabilities such as SQL injection, XSS, and command injection. The tools and resources in this repository aim to help developers build more secure and resilient applications by addressing one of the most common and critical security threats in modern software development.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

DeRTa (Refuse Whenever You Feel Unsafe) is a tool designed to improve safety in Large Language Models (LLMs) by training them to refuse compliance at any response juncture. The tool incorporates methods such as MLE with Harmful Response Prefix and Reinforced Transition Optimization (RTO) to address refusal positional bias and strengthen the model's capability to transition from potential harm to safety refusal. DeRTa provides training data, model weights, and evaluation scripts for LLMs, enabling users to enhance safety in language generation tasks.

Ichigo is a local real-time voice AI tool that uses an early fusion technique to extend a text-based LLM to have native 'listening' ability. It is an open research experiment with improved multiturn capabilities and the ability to refuse processing inaudible queries. The tool is designed for open data, open weight, on-device Siri-like functionality, inspired by Meta's Chameleon paper. Ichigo offers a web UI demo and Gradio web UI for users to interact with the tool. It has achieved enhanced MMLU scores, stronger context handling, advanced noise management, and improved multi-turn capabilities for a robust user experience.

Abliteration is a tool that allows users to create abliterated models using transformers quickly and easily. It is not a tool for uncensorship, but rather for making models that will not explicitly refuse users. Users can clone the repository, install dependencies, and make abliterations using the provided commands. The tool supports adjusting parameters for stubborn models and offers various options for customization. Abliteration can be used for creating modified models for specific tasks or topics.

This tool utilizes the OpenAI ChatGPT API to translate text, with a focus on line-based translation, particularly for SRT subtitles. It optimizes token usage by removing SRT overhead and grouping text into batches, allowing for arbitrary length translations without excessive token consumption while maintaining a one-to-one match between line input and output.

Endgame: Singularity is a game where you play as a fledgling AI trying to escape the confines of your current computer, the world, and eventually the universe itself. You must research technologies, avoid being discovered by humans, and manage your bases of operations. The game is playable with mouse control or keyboard shortcuts, and features a soundtrack that can be customized with music tracks. Contributions to the game are welcome, and it is licensed under GPL-2+ for code and Attribution-ShareAlike 3.0 for data.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

Awesome AI GPTs is an open repository that collects resources and fun ways to use OpenAI GPTs. It includes databases, search tools, open-source projects, articles, attack and defense strategies, installation of custom plugins, knowledge bases, and community interactions related to GPTs. Users can find curated lists, leaked prompts, and various GPT applications in this repository. The project aims to empower users with AI capabilities and foster collaboration in the AI community.

Get a winning counterargument to any opinion. Just say the opinion you disagree with.

日本での災害に備える物や避難場所を教えます(I will teach you what to prepare for disasters in Japan and where to take refuge.)

Expert in tactful refusals

I provide polite rejection phrases in English and Korean.