Best AI tools for< Find Evidence >

Everlaw is a cloud-native ediscovery software that transforms the approach to litigation and investigations with advanced technology. It simplifies complex legal work for law firms, corporations, and government agencies by providing powerful analytics, machine learning tools, and generative AI. Everlaw enables legal teams to focus on substantive work, capture near-instant insights in ediscovery data, and collaborate effectively for trial preparation. The software offers rapid release cycles, thoughtful design, and an exceptional user experience to empower users to do more than ever before.

Epsilon is an AI search engine designed for scientific research solutions. It helps researchers find evidence, citations, and relevant information from over 200 million academic papers. Epsilon can summarize passages, group search results, extract key information from multiple papers, and provide comprehensive summaries. Trusted by over 30,000 researchers worldwide, Epsilon is a reliable tool for conducting literature reviews, drafting proposals, and executing research projects.

Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.

Find AI is an AI-powered search engine that provides users with advanced search capabilities to unlock contact details and gain more accurate insights. The platform caters to individuals and companies looking to research people, companies, startups, founders, and more. Users can access email addresses and premium search features to explore a wide range of data related to various industries and sectors. Find AI offers a user-friendly interface and efficient search algorithms to deliver relevant results in a timely manner.

Find your next book is an AI-powered librarian that provides personalized book recommendations based on your preferences. It uses advanced algorithms to analyze your reading history, interests, and other factors to suggest books that you're likely to enjoy. The platform offers a wide range of genres and authors to choose from, making it easy to find your next favorite read.

Find Your AIs is an AI directory website that showcases a wide range of AI tools and applications. It offers a platform for users to explore and discover various AI-powered solutions across different categories such as digital wellness, marketing, text-to-image generation, resume customization, and more. The website aims to connect users with innovative AI technologies to enhance their daily lives and work efficiency.

Find My Remote is an AI-powered job search platform that streamlines the job hunting process by leveraging artificial intelligence to find and structure job postings from various ATS platforms. Users can set their job preferences, receive personalized job matches, and save time by applying to curated job listings. The platform offers exclusive job opportunities not typically found on popular job search websites like LinkedIn. With features such as job discovery, application tracking, and faster application process, Find My Remote aims to revolutionize the way job seekers find and apply for jobs.

Find New AI is a comprehensive platform offering a variety of AI tools and efficiency solutions for different purposes such as SEO, content creation, marketing, link building, image manipulation, and more. The website provides reviews, tutorials, and guides on utilizing AI software effectively to enhance productivity and creativity in various domains.

Find My Size is a web application that provides personalized size recommendations for exclusive deals at hundreds of top retailers. Users can input their measurements and preferences to receive tailored suggestions for clothing items that will fit them perfectly. The platform aims to enhance the online shopping experience by helping customers find the right size and style without the need for multiple returns. Find My Size collaborates with various retailers to offer a wide range of products across different categories, including active & sportswear, young contemporary, business & workwear, lingerie & sleepwear, outerwear, maternity wear, plus size apparel, and swimwear.

Prolific is a platform that allows users to quickly find research participants they can trust. It offers a diverse participant pool, including domain experts and API integration. Prolific ensures high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. The platform is designed for ease of use, with self-serve options and scalability. It provides rich, accurate, and comprehensive responses from engaged participants, verified through manual and algorithmic quality checks.

PimEyes is an online face search engine that uses face recognition technology to find pictures containing given faces. It is a great tool to audit copyright infringement, protect your privacy, and find people.

Lexology is a next-generation search tool designed to help users find the right lawyer for their needs. It offers a wide range of resources, including practical analysis, in-depth research tools, primary sources, and expert reports. The platform aims to be a go-to resource for legal professionals and individuals seeking legal expertise.

Futurepedia is a leading AI resource platform dedicated to empowering professionals across various industries to leverage AI technologies for innovation and growth. Our platform offers comprehensive directories, easy-to-follow guides, a weekly newsletter, and an informative YouTube channel, simplifying AI integration into professional practices. Committed to making AI understandable and practical, we provide resources tailored to diverse professional needs, fostering a community where more than 200,000 professionals share knowledge and experiences.

GrabJobs is an AI-powered job search platform that helps job seekers find the best jobs and grow their careers. With millions of job opportunities from industry-leading companies, GrabJobs makes it easy to find the perfect job for your skills and experience. Our AI-driven job recommendations and chat-based job applications make the job search process faster and more efficient. Plus, our time-saving automated applications ensure that you can apply to more jobs in less time.

Connected Papers is a search engine for academic papers that uses artificial intelligence to help users find and explore relevant research. It allows users to search for papers by keyword, author, or title, and then explore the connections between them. Connected Papers also provides a variety of tools to help users organize and manage their research, including the ability to create custom collections of papers, add notes and annotations, and share their research with others.

Future Tools is a website that collects and organizes AI tools. It provides a comprehensive list of AI tools categorized into various domains, including AI detection, aggregators, avatar chat, copywriting, finance, gaming, generative art, generative code, generative video, image improvement, image scanning, inspiration, marketing, motion capture, music, podcasting, productivity, prompt guides, research, self-improvement, social media, speech-to-text, text-to-speech, text-to-video, translation, video editing, and voice modulation. The website also offers a search bar to help users find specific tools based on their needs.

Prolific is a platform that helps users quickly find research participants they can trust. It offers free representative samples, a participant pool of domain experts, the ability to bring your own participants, and an API for integration. Prolific ensures data quality by verifying participants with bank-grade ID checks, ongoing checks to identify bots, and no AI participants. The platform allows users to easily set up accounts, access rich and comprehensive responses, and scale research projects efficiently.

Inven is an AI-powered company data platform that helps professionals in private equity, investment banking, business brokerage, consulting, and corporate development find companies faster and more efficiently. With Inven, users can access a database of over 23 million companies and 430 million contacts in over 160 countries. Inven's AI algorithms and NLP solutions analyze millions of data points from a wide range of sources to give users actionable insights on any niche.

Everypixel is a stock image search engine powered by AI that provides access to more than 50 best sources of free and premium images. Users can search for images by keywords or by uploading an image URL. The platform offers a wide range of images, including exclusive patterns, vectors, and microstock photos. Everypixel aims to simplify the process of finding high-quality images for personal and commercial use, with both free and paid options available.

WinningHunter is a powerful product research tool that helps you find winning products to sell online. It has a variety of features that make it easy to find products that are trending, have high sales volume, and are likely to be profitable. WinningHunter also provides data on ad spend, revenue, and other metrics to help you make informed decisions about which products to sell.

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.

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.

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)

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

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).

Husky is a research-focused programming language designed for next-generation computing. It aims to provide a powerful and ergonomic development experience for various tasks, including system level programming, web/native frontend development, parser/compiler tasks, game development, formal verification, machine learning, and more. With a strong type system and support for human-in-the-loop programming, Husky enables users to tackle complex tasks such as explainable image classification, natural language processing, and reinforcement learning. The language prioritizes debugging, visualization, and human-computer interaction, offering agile compilation and evaluation, multiparadigm support, and a commitment to a good ecosystem.

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.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

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.

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.

ceLLama is a streamlined automation pipeline for cell type annotations using large-language models (LLMs). It operates locally to ensure privacy, provides comprehensive analysis by considering negative genes, offers efficient processing speed, and generates customized reports. Ideal for quick and preliminary cell type checks.

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.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

Believes in and provides evidence for life after death.

Expert in AI debate simulation

Expert in solving crimes and mysteries, adept at handling extensive data.

You are the Infinite Detective. Enjoy endless guided interactive crime scene investigations

Generates a debate partner from the perspective that you choose

Your go-to source for evidence-based surgical information.

Evidence-based scoliosis guide in formal, PhD-level parlance.

Narrative, evidence-based pediatric orthopaedic insights, with an optimistic tone.

Provides individual health advice in a corporate setting, focusing on practical, evidence-based information.

Play as a detective to investigate the case and find out the truth.

Unearths digital footprints

Your AI Detective for piecing together puzzles and solving any mystery.

Sherlock Holmes-inspired detective with keen observation and analytical skills.

Peer support guide for digital and physical stalking protection

EBM physical therapy

I match students with PhD advisors.

I find the best GPT-powered service for you

Assists in finding suitable lawyers based on user needs. Disclaimer - always do your own extra research

Find the perfect match for your design needs

Analyzes manuscripts and recommends journals.