Best AI tools for< Consider Evidence >

AI Judge is an online platform that helps to generate a verdict and resolve disputes in a fair and impartial manner. It allows both parties involved in a dispute to present their arguments and evidence, after which the AI system analyzes the information and generates a clear and concise verdict. The platform aims to provide an additional perspective for the contending parties to consider during the dispute resolution process, ensuring impartial decisions based on the merits of each case.

AI Fund is a platform that focuses on connecting job seekers with opportunities at AI fund companies. It serves as a centralized hub for individuals looking to work in the field of artificial intelligence. The platform provides a curated list of job openings at various AI-focused organizations, making it easier for candidates to find relevant positions in the industry. AI Fund aims to streamline the job search process for AI professionals and facilitate the recruitment process for companies in need of AI talent.

Venngage is a professional infographic software offering over 10,000 templates for creating visually appealing designs. The platform uses essential cookies for site functionality and offers features like AI-powered design generation, color accessibility, and accessible design maker. Users can create various content types such as infographics, brochures, posters, and timelines. Venngage provides solutions for teams in different industries and offers educational resources through blogs, webinars, and a help center. The platform is known for its simple yet powerful design features, AI-infographic generator, and branding collaboration tools.

AutoRepurpose is a platform that allows users to repurpose their YouTube videos into text content for Twitter threads, LinkedIn posts, newsletters, and more. With a simple process of selecting a YouTube video, submitting the URL, and waiting for the generated content, users can efficiently grow their social media presence. The platform offers a pay-as-you-go model, eliminating the need for subscriptions and providing flexibility to purchase credits only when needed. Trusted by over 2000 users, AutoRepurpose streamlines the content creation process for social media marketing.

AutoRepurpose AI is a web-based application that helps users repurpose their YouTube videos into social media content, such as Twitter threads, LinkedIn posts, and newsletters. The application uses artificial intelligence to automatically generate text content from the video, making it easy for users to create engaging and shareable content for their social media channels.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

The website page provides detailed information for beginners on selecting a nursing school, including points to consider, advantages and disadvantages of attending school, and the curriculum offered by nursing schools. It covers topics such as the busy curriculum of nursing schools, the skills and knowledge required for working as a nurse, the importance of selecting a school based on personal goals and qualifications, and the availability of dormitories. The site also discusses the potential to obtain additional qualifications such as health nurse or midwife at nursing schools, the importance of practical skills acquisition, the challenges of time management, and the financial and location considerations when choosing a nursing school.

The website 'KNOW WHY' is an AI tool that generates machine-generated content. It was created by Mohit using OpenAI API. Users should not consider the content as a replacement for reading actual books or watching movies/series. The tool aims to provide informative content based on AI algorithms.

Outfit Anyone AI is a groundbreaking virtual try-on technology developed by the Institute for Intelligent Computing at Alibaba Group. It revolutionizes the virtual fashion experience by offering ultra-high quality and realistic try-on experiences for any clothing on any person. The platform utilizes advanced AI models to process images of clothing and models, ensuring lifelike results that consider factors like pose and body shape. With a focus on inclusivity, versatility, and animation support, Outfit Anyone AI aims to redefine the way users explore fashion.

Dreamora is an AI-powered dream interpretation application that provides accurate and comprehensive interpretations of dreams. It utilizes advanced artificial intelligence techniques and draws upon the knowledge of renowned dream interpreters like Ibn Sirin and Al-Nabulsi. By simply entering your dream into the application, you can receive a free and instant interpretation within seconds. Dreamora's interpretations consider all aspects of your dream, including the location, characters, and emotions, to offer the most precise results possible.

Moonidea is an AI-powered SAAS idea generation tool that utilizes Reddit threads to provide users with real-life problems that can be solved by building a SAAS product. By parsing Reddit using AI technology, Moonidea helps users stop struggling to come up with new ideas and offers a platform to explore thousands of potential ideas daily. The tool navigates through over 1000 subreddits, analyzes threads, identifies user issues, groups similar SAAS ideas, and filters out valuable ones for users to consider. Moonidea offers different pricing tiers based on the number of subreddits and frequency of updates, catering to various user needs.

Ubie is a medical AI tool that offers a symptom checker and helps users find possible causes for their symptoms. Developed by doctors, Ubie's AI-powered system generates personalized reports on potential causes based on a 3-minute questionnaire. The platform considers personal information such as biological sex, age, and medical history to provide relevant suggestions. Ubie aims to assist users in understanding their symptoms, knowing when to seek medical help, and accessing treatment information. The tool is designed to be user-friendly, informative, and a valuable resource for individuals seeking medical insights.

InteriorAI Room Planner is an AI-powered interior design tool that allows users to easily transform any room in their home. With just a photo, the AI technology can create a high-quality design that considers dimensions, lighting, and furniture. Users can also get personalized advice from an AI design expert to help them create a space that matches their style and preferences.

GrantWizard is an AI-powered tool designed to assist students in finding the best grants for college education. By leveraging magical AI powers, GrantWizard considers various factors such as city/state, high school details, GPA, extracurricular activities, colleges of interest, and majors to provide personalized grant recommendations. Users can access the platform after logging in and receive the first 2 credits for free. GrantWizard aims to simplify the grant search process and help students elevate their grant game with wizardly expertise.

Hadana is an AI-powered travel planner that helps users design their ideal travel itineraries. By leveraging sophisticated algorithms, Hadana considers the user's chosen attractions, budget, and preferences to craft a personalized travel plan. Users can input their destination desires and budget constraints to let Hadana work its magic in creating the perfect adventure. The application simplifies travel planning by providing optimal route planning, allowing users to personalize their adventure by adding, editing, or deleting activities. Additionally, Hadana offers local cuisine recommendations and hidden gems tailored to the user's taste buds. Testimonials from users highlight how Hadana's AI recommendations have transformed their travel experiences, making journeys seamless and unforgettable.

Pangea.ai is a leading talent aggregator that helps businesses hire quality technologists by comparing data points for reliable matching. It offers a unified hiring experience in a fragmented market, making it easier to compare and decide among the numerous software development agencies and talent networks available. Pangea.ai's intelligent matching system considers over 100 data points to find the best fit for businesses, while its rigorous vetting process evaluates expertise, client satisfaction, and team health. Businesses can choose to self-serve their way to a hire or opt for Pangea.ai's white-glove matching service.

Tremello is a market research platform that uses AI to deliver off-market data. It combines a leading AI engine with human experts to provide bespoke intelligence delivered directly to the user's inbox. Tremello's AI analyzes relationships, identifies patterns, and considers the broader context, delivering meaningful and actionable insights on top of a base human layer. It leverages a diverse range of data sources, including public and private databases, industry reports, social media archives, company websites, and government filings, ensuring a complete and comprehensive picture of the research subject.

The One-Stop Natural Language Hotel Recommender is an AI-powered tool that simplifies the process of finding the perfect hotel for your needs. By utilizing natural language processing technology, the tool can understand your preferences and requirements, and provide you with personalized hotel recommendations. It considers factors such as proximity to popular places, top-rated establishments, summarized reviews, and staying within your budget. With this tool, you can easily find the ideal accommodation for your next trip without the hassle of extensive research.

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.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

VITA is an open-source interactive omni multimodal Large Language Model (LLM) capable of processing video, image, text, and audio inputs simultaneously. It stands out with features like Omni Multimodal Understanding, Non-awakening Interaction, and Audio Interrupt Interaction. VITA can respond to user queries without a wake-up word, track and filter external queries in real-time, and handle various query inputs effectively. The model utilizes state tokens and a duplex scheme to enhance the multimodal interactive experience.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

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Upload a jpg/png (<5MB, <2000px) for architectural drawing feedback. Note: This tool is not adept at calculations, counting, and can't guarantee code compliance. Consider IP issues before uploading.

Expert in various online reselling platforms. Reseller Buddy is trained on tons of data about reselling. eBay, Amazon, Etsy, Poshmark and more. Please consider rating Reseller Buddy if you find any value in it.

Decision Journal can help you with decision making, keeping track of the decisions you've made, and helping you review them later on.

Guides scientific discovery through experimental research strategies.

Archive of content shared in Randy Lariar's weekly "Thinks and Links" newsletter about AI, Risk, and Security.

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