Best AI tools for< Understand Risks Of Dehydration >

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

Overwatch Data is a comprehensive intelligence platform that offers real-time, global understanding for cyber, fraud, security, supply chain, and market intelligence needs. The platform provides concise, actionable insights tailored to the user's requirements, cutting through noise to deliver crucial information efficiently. With customizable monitoring options and intuitive data visualizations, Overwatch Data empowers users to stay informed and make informed decisions in the ever-evolving landscape of intelligence gathering.

The AI Audit Bot is an AI compliance auditing tool designed to help users understand and mitigate compliance risks associated with AI projects. It uses Intelligent Knowledge Graph technology to provide insights on current and future compliance considerations. The tool supports jurisdictions like the USA, the EU, and the UK, with plans to add more. The audit results are transparent, traceable, and presented in a downloadable PDF format. The tool is created by Dr. Andy Edmonds, a pioneer in AI ethics and transparency. It aims to inform users of potential compliance issues and offers a human review option for complex cases.

The Coming Wave is a groundbreaking book by AI entrepreneur Mustafa Suleyman that delves into the technological revolution of the 21st century. It explores the impact of AI on society, the challenges of controlling powerful technologies, and the potential for both innovation and upheaval on a global scale. Through insightful analysis and compelling arguments, the book offers a stark warning and a hopeful guide to navigating the future amidst unprecedented peril and promise.

MLSecOps is an AI tool designed to drive the field of MLSecOps forward through high-quality educational resources and tools. It focuses on traditional cybersecurity principles, emphasizing people, processes, and technology. The MLSecOps Community educates and promotes the integration of security practices throughout the AI & machine learning lifecycle, empowering members to identify, understand, and manage risks associated with their AI systems.

CyberUpgrade.net is an AI-powered platform that offers comprehensive cybersecurity and compliance solutions for organizations of all sizes. It provides automated compliance, risk management, vendor risk assessment, policy management, audit management, and 24/7 security support. The platform features a cloud vulnerability scanner, security awareness training, pentesting, business continuity planning, disaster recovery planning, and an AI-powered assistant for seamless security support. CyberUpgrade helps CTOs understand their organization's security status, proposes improvement plans, guides execution, and prepares compliance documentation with a push of a button. It engages every employee individually for evidence collection and situation analysis, ensuring real cybersecurity measures are in place.

CYBER AI is a security report savant powered by DEPLOYH.AI that simplifies cybersecurity for businesses. It offers a range of features to help organizations understand, unlock, and uncover security threats, including security reports, databreach reports, logs, and threat hunting. With CYBER AI, businesses can gain a comprehensive view of their security posture and take proactive steps to mitigate risks.

Ergodic is an AI tool called Kepler that enables data-driven decisions for businesses. Kepler acts as an AI action engine, bridging the knowledge gap between business context and data to help optimize processes, identify opportunities, and mitigate risks. It goes beyond number crunching to build a digital version of the business, allowing users to create scenarios and evaluate outcomes. Kepler focuses on taking action directly, without the need for complex dashboards, providing insights on what needs to be done, why, and the potential outcomes. Ergodic aims to empower businesses with AI-driven solutions for strategic decision-making.

Scrivvy is a web-based tool that helps users summarize YouTube videos. It uses artificial intelligence to generate concise summaries of videos of any length. Users can search their video history to quickly find the summaries they need. Scrivvy also breaks down long videos into short chunks, making it easier to understand the content. Users can try the service risk-free with free credits when they sign up.

ElliSense is an AI-powered global market sentiment analysis tool that provides real-time insights into the sentiment of various financial assets, including stocks, cryptocurrencies, and forex currencies. It analyzes thousands of data points per second from various sources, including social media, news outlets, and industry analysts, to provide accurate and up-to-date market sentiment. The tool is designed to help traders and investors make informed decisions by providing clear and easy-to-understand market insights.

Nestor is an AI-powered insurance assistant that provides clear and jargon-free answers to all your insurance questions. It can audit your insurance contracts, identify potential over-insurance or under-insurance, and suggest ways to improve your coverage. Nestor is constantly learning and can provide expert advice on a wide range of insurance topics.

Mather Economics is a global leader in providing technology, analytics, and advisory services to enable publishers to monetize content and grow subscriber revenue. Our Sophi platform uses industry-leading AI technology and automation to monetize content more effectively and efficiently, driving both revenue growth and cost savings. Our approach to dynamic pricing has proven to drive significant revenue increases over the past 20 years and continues to lead the industry. Overall, our value proposition enables fast, economical, and verifiable return on investment through our efficient application of predictive analytics, technology, A/B testing, and data science.

The EU Artificial Intelligence Act website provides up-to-date developments and analyses of the EU AI Act. It offers tools such as the AI Act Explorer to browse the full AI Act text online and the Compliance Checker to understand how the AI Act will impact users. The website aims to inform users about the European regulation on artificial intelligence, categorizing AI applications based on risk levels and legal requirements. It also highlights the importance of AI governance and its global implications.

Netify provides network intelligence and visibility. Its solution stack starts with a Deep Packet Inspection (DPI) engine that passively collects data on the local network. This lightweight engine identifies applications, protocols, hostnames, encryption ciphers, and other network attributes. The software can be integrated into network devices for traffic identification, firewalling, QoS, and cybersecurity. Netify's Informatics engine collects data from local DPI engines and uses the power of a public or private cloud to transform it into network intelligence. From device identification to cybersecurity risk detection, Informatics provides a way to take a proactive approach to manage network threats, bottlenecks, and usage. Lastly, Netify's Data Feeds provide data to help vendors understand how applications behave on the Internet.

Tamarack is a technology company specializing in equipment finance, offering AI-powered applications and data-centric technologies to enhance operational efficiency and business performance. They provide a range of solutions, from business intelligence to professional services, tailored for the equipment finance industry. Tamarack's AI Predictors and DataConsole are designed to streamline workflows and improve outcomes for stakeholders. With a focus on innovation and customer experience, Tamarack aims to empower clients with online functionality and predictive analytics. Their expertise spans from origination to portfolio management, delivering industry-specific solutions for better performance.

ZestyAI is an artificial intelligence tool that helps users make brilliant climate and property risk decisions. The tool uses AI to provide insights on property values and risk exposure to natural disasters. It offers products such as Property Insights, Digital Roof, Roof Age, Location Insights, and Climate Risk Models to evaluate and understand property risks. ZestyAI is trusted by top insurers in North America and aims to bring a ten times return on investment to its customers.

Legalysis is a powerful tool for analyzing and summarizing legal documents. It is designed to save time and reduce complexity in legal processes. The tool uses advanced AI technology to examine contracts and other legal documents in depth, detecting potential risks and issues with impressive accuracy. It also converts dense, lengthy legal documents into brief, one-page summaries, making them easier to understand. Legalysis is a valuable tool for law firms, corporate legal departments, and individuals dealing with legal documents.

Grow My Small Business - AI is an AI-powered platform that helps small businesses refine their expansion plans, understand market trends, mitigate risks, and develop new offerings. It provides market expansion insights, competitive edge analysis, risk assessment, customized growth strategies, and expert advisors to support business growth. The platform offers idea evaluation packages, personalized growth strategies, and customer support to assist small businesses in scaling effectively and efficiently.

WEVO is an AI-powered platform that offers effortless UX research for teams. It provides instant and deep insights into digital experiences, helping businesses test, validate, and perfect their online interactions before going live. By combining AI speed with human insight, WEVO boosts creative confidence, accelerates speed to market, and lowers reputational risks. The platform enables users to analyze user behavior, optimize content, measure campaign effectiveness, and enhance customer experiences through data-driven decisions.

AnalyStock.ai is a financial application leveraging AI to provide users with a next-generation investment toolbox. It helps users better understand businesses, risks, and make informed investment decisions. The platform offers direct access to the stock market, powerful data-driven tools to build top-ranking portfolios, and insights into company valuations and growth prospects. AnalyStock.ai aims to optimize the investment process, offering a reliable strategy with factors like A-Score, factor investing scores for value, growth, quality, volatility, momentum, and yield. Users can discover hidden gems, fine-tune filters, access company scorecards, perform activity analysis, understand industry dynamics, evaluate capital structure, profitability, and peers' valuation. The application also provides adjustable DCF valuation, portfolio management tools, net asset value computation, monthly commentary, and an AI assistant for personalized insights and assistance.

The Big Prompt Library repository is a collection of various system prompts, custom instructions, jailbreak prompts, GPT/instructions protection prompts, etc. for various LLM providers and solutions providing educational value in learning about writing system prompts and creating custom GPTs. It includes topics such as articles, custom instructions, system prompts, jailbreak prompts, instructions protections, and learning resources. The content is intended for learning and informational use to improve prompt writing abilities and inform about prompt injection security risks.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

The Intelligence Toolkit is a suite of interactive workflows designed to help domain experts make sense of real-world data by identifying patterns, themes, relationships, and risks within complex datasets. It utilizes generative AI (GPT models) to create reports on findings of interest. The toolkit supports analysis of case, entity, and text data, providing various interactive workflows for different intelligence tasks. Users are expected to evaluate the quality of data insights and AI interpretations before taking action. The system is designed for moderate-sized datasets and responsible use of personal case data. It uses the GPT-4 model from OpenAI or Azure OpenAI APIs for generating reports and insights.

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.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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 is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.

Informative guide on dehydration, its causes, symptoms, and prevention.

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A helper for reading and summarizing terms and conditions (or terms of service).

Analyzing society, blending history and tech impacts

Un ghid care explică în termeni simpli drepturile cetățeanului român.

Medical expert on endometrial cancer, providing detailed and informative responses.

Adivce on all things drugs!

Un outil pour comprendre l'intelligence économique et la veille stratégique

Friendly GPT simplifying terms and conditions, with focus on critical aspects for users.

Review your tech service agreements 24/7, find legal risk and give suggestions. (Powered by LegalNow ai.legalnow.xyz)

Creates balanced future scenarios with both positive and negative visions.

Ask about AI regulations, in any language............ ZH: 询问有关人工智能的规定。DE: Fragen Sie nach KI-Regulierungen. FR: Demandez des informations sur les réglementations de l'IA. ES: Pregunte sobre las regulaciones de IA.

Educational guide on brokerage, clarifying concepts in finance

Accessible emergency expert, providing clear, easy-to-understand guidance.

The intelligent investor. Analyse stocks using Warren Buffet's favourite investment framework, outlined in Benjamin Graham's famous book. Warren takes no responsibility for investment risk.

Makes finance and economics simple

Technical analyst backed with 1W-1D-4H refreshed financial market data. For more timeframes and granularity please check our website.

Rechtliche Unterstützung zu BGB, StGB, SGB und StVO.

I explain complex topics in simple, fun ways, like you're 5!

Helps understand North Andover's wetland regulations