Best AI tools for< Provide Directions >

Trulience is an interactive digital avatar platform that uses conversational AI to power super realistic avatars. These avatars are created from real human data using AI and machine learning, and can be rendered in the cloud or browser. Trulience's ambition is to humanize artificial intelligence by creating lifelike digital humans that can engage in natural conversations with real people. The company's technology uses advanced natural language processing, neural networks, auto-encoders, and high-end CGI to create compelling services that allow people to interact with virtual human beings.

Ai Drive is an innovative AI-powered tool designed to streamline and enhance the driving experience. It utilizes advanced algorithms and machine learning to provide real-time navigation, traffic updates, and personalized recommendations to optimize routes. With its intuitive interface and smart features, Ai Drive aims to revolutionize the way people navigate and commute, making driving safer, more efficient, and enjoyable.

MetaMuse is an AI-powered marketing tool that provides access to award-winning creative ideas and strategies without the high costs associated with traditional agencies. By analyzing over 20,500 successful campaigns and leveraging AI technology, MetaMuse democratizes creative expertise and offers lightning-fast turnaround for generating groundbreaking marketing concepts. Users can define their marketing challenges, connect with their target audience, and generate winning ideas with the help of an AI marketing expert, creative strategist, and creative team. MetaMuse aims to empower businesses to create unforgettable brand campaigns and drive real results.

CollegeBot is an AI-powered platform designed to assist college students with their academic queries and campus-related questions. It provides a centralized hub for students to seek information on various topics such as courses, campus facilities, events, and more. By leveraging artificial intelligence technology, CollegeBot aims to streamline the process of accessing relevant information and enhancing the overall college experience for students.

TrailMate is an offline AI companion designed to enhance outdoor adventures. It provides users with intelligent guidance and assistance while exploring the great outdoors. The application offers a range of features to help users navigate, plan, and enjoy their outdoor activities to the fullest. With TrailMate, users can access valuable insights, recommendations, and support even when offline, making it a reliable and convenient tool for outdoor enthusiasts.

NewOaks AI is an automated client engagement and appointment booking solution that utilizes AI technology to enhance customer interactions. It offers a range of features including conversational appointment booking through website chat widgets and SMS, free text SMS chatbot services, bi-directional webhooks for CRM integration, and proactive follow-up actions. By leveraging AI, NewOaks AI aims to resolve 80% of customer inquiries instantly, providing businesses with an efficient and cost-effective way to engage with their clients.

AI Fortunist is an advanced AI system that provides tarot readings, coffee readings, dream interpretations, and daily horoscopes. It analyzes symbols and imagery at a depth no human can match, while still providing the intuition and heart you expect. AI Fortunist is still in beta and can only be accessed through invitation codes. After signing up, you'll receive free credits to experience the AI readings for yourself.

Radiology Business is an AI tool designed to provide insights and solutions for professionals in the radiology field. The platform covers a wide range of topics including management, imaging, technology, and conferences. It offers news, analysis, and resources to help radiologists stay informed and make informed decisions. Radiology Business aims to leverage artificial intelligence to improve workflow efficiency and enhance the overall experience in the radiology ecosystem.

The website is an AI tool that offers various resources related to spiritual awakening, forgiveness, and self-discovery. It provides AI-powered chatbots like Forgiveness AI and David AI to guide users in practicing forgiveness and exploring spiritual teachings. The platform also features transformational documentaries, courses, articles, podcasts, and movies aimed at fostering trust, transparency, and relationships in the awakening journey. Users can access exclusive content, engage in discussions, and connect with the Living Miracles community for support and guidance.

Fraud.net is an AI-powered fraud detection and prevention platform designed for enterprises. It offers a comprehensive and customizable solution to manage and prevent financial fraud and risks. The platform utilizes AI and machine learning technologies to provide real-time monitoring, analytics, and reporting, helping businesses in various industries to combat fraud effectively. Fraud.net's solutions are trusted by CEOs, directors, technology and security officers, fraud managers, and analysts to ensure trust and beat fraud at every step of the customer lifecycle.

Polymorphia is an AI logo generator that offers over 100 unique logo options tailored for brands in a matter of minutes. It uses cutting-edge technologies to create exceptional logos based on user preferences and company descriptions. The AI-powered technology constantly adds new styles to provide the best results, generating logos from scratch to ensure uniqueness. Polymorphia has received positive reviews from users, including creative directors, CEOs, and product designers, who praise its creativity, efficiency, and quality. The application offers different pricing plans with various features, such as email support, 4k resolution, and customization options.

adam.ai is an AI-powered assistant for meeting management that offers enterprise-level intelligence to drive ROI. It provides a secure and intelligent platform for managing meetings, designed for boards, committees, and projects. The platform empowers directors and executives to document, retrieve, and act on meeting content, enhancing decision-making and organizational ROI.

Vectra AI is an advanced AI-driven cybersecurity platform that helps organizations detect, prioritize, investigate, and respond to sophisticated cyber threats in real-time. The platform provides Attack Signal Intelligence to arm security analysts with the necessary intel to stop attacks fast. Vectra AI offers integrated signal for extended detection and response (XDR) across various domains such as network, identity, cloud, and endpoint security. Trusted by 1,500 enterprises worldwide, Vectra AI is known for its patented AI security solutions that deliver the best attack signal intelligence on the planet.

JustReply is a customer support tool designed for teams that use Slack. It enables users to manage, respond, and resolve customer support conversations directly within their Slack workspace. JustReply offers features such as a beautiful helpcenter with customizable templates, flexible chat widget supporting various communication channels, minimalist inbox for prioritizing conversations, speedy macros for quick responses, powerful search functionality, and a smart editor for creating and editing support articles. The tool aims to streamline customer support processes and improve efficiency for smaller teams that heavily rely on Slack for communication and collaboration.

Helper Systems has developed technology that restores the trust between students who want to use AI tools for research and faculty who need to ensure academic integrity. With kOS (pronounced chaos), students can easily provide proof of work using a platform that significantly simplifies and enhances the research process in ways never before possible. Add PDF files from your desktop, shared drives or the web. Annotate them if you desire. Use AI responsibly, knowing when information is generated from your research vs. the web. Instantly create a presentation of all your resources. Share and prove your work. Try other cool features that offer a unique way to find, organize, discover, archive, and present information.

Outfindo is a product selection guide that uses AI to help customers find the right product for their needs. It is a cloud-based solution that can be integrated with any website. Outfindo uses a series of questions to help customers narrow down their choices and find the perfect product. It also provides detailed product information and recommendations to help customers make informed decisions.

Sequens.ai is an AI application that generates AI contents at scale, checked by B2B marketers. It provides value to your audience across all channels by utilizing fine-tuned AI technology and expert reviews for SEO, social media, and lead generation contents. The platform offers a seamless process from content creation to publication, helping businesses enhance their marketing strategies and engage their audience effectively.

UNA is an AI-powered platform revolutionizing the immigration process. It offers comprehensive insights on Canadian immigration programs such as entrepreneur, study, investment, skilled worker, provincial nomination, refugee, family reunification, and self-employment. UNA tailors suitable immigration paths for users and provides real-time interpretation of the latest immigration policies.

MakePodcast is an AI-powered platform that enables users to effortlessly craft professional podcasts in minutes. By leveraging Open AI TTS and Eleven Labs Voices, MakePodcast allows users to generate high-quality podcast episodes with ease. Users can upload scripts, select voices, and create personalized podcasts in various languages. The platform supports multiple use cases, including creating full podcast episodes, incorporating custom voices, generating ad reads, and reaching a global audience with multilingual support. MakePodcast offers a lifetime pricing plan with unlimited episode limits and the option to use custom voice models.

Multiverse is an AI-powered platform that helps employers and individuals bridge skills gaps by offering professional apprenticeships and personalized learning pathways. It provides AI-powered assessments to diagnose skills challenges, personalized learning plans, and on-the-job training. Multiverse aims to transform careers by supporting workforce transformation through upskilling and reskilling. The platform offers an ecosystem of human and AI support to ensure learners are never alone in their learning journey. Multiverse is trusted by 1,500 companies across the UK & US, with a tracked return-on-investment of £2 billion for customers to date.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository is a part of the 13th iT Help Ironman competition, focusing on exploring explainable artificial intelligence (XAI) in machine learning and deep learning. The content covers the basics of XAI, its applications, cases, challenges, and future directions. It also includes practical machine learning algorithms, model deployment, and integration concepts. The author aims to provide detailed resources on AI and share knowledge with the audience through this competition.

Flock is a workflow-based low-code platform that enables rapid development of chatbots, RAG applications, and coordination of multi-agent teams. It offers a flexible, low-code solution for orchestrating collaborative agents, supporting various node types for specific tasks, such as input processing, text generation, knowledge retrieval, tool execution, intent recognition, answer generation, and more. Flock integrates LangChain and LangGraph to provide offline operation capabilities and supports future nodes like Conditional Branch, File Upload, and Parameter Extraction for creating complex workflows. Inspired by StreetLamb, Lobe-chat, Dify, and fastgpt projects, Flock introduces new features and directions while leveraging open-source models and multi-tenancy support.

The Dota2 AI Framework project aims to provide a framework for creating AI bots for Dota2, focusing on coordination and teamwork. It offers a LUA sandbox for scripting, allowing developers to code bots that can compete in standard matches. The project acts as a proxy between the game and a web service through JSON objects, enabling bots to perform actions like moving, attacking, casting spells, and buying items. It encourages contributions and aims to enhance the AI capabilities in Dota2 modding.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

abliterator.py is a simple Python library/structure designed to ablate features in large language models (LLMs) supported by TransformerLens. It provides capabilities to enter temporary contexts, cache activations with N samples, calculate refusal directions, and includes tokenizer utilities. The library aims to streamline the process of experimenting with ablation direction turns by encapsulating useful logic and minimizing code complexity. While currently basic and lacking comprehensive documentation, the library serves well for personal workflows and aims to expand beyond feature ablation to augmentation and additional features over time with community support.

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 Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

EOLE is an open language modeling toolkit based on PyTorch. It aims to provide a research-friendly approach with a comprehensive yet compact and modular codebase for experimenting with various types of language models. The toolkit includes features such as versatile training and inference, dynamic data transforms, comprehensive large language model support, advanced quantization, efficient finetuning, flexible inference, and tensor parallelism. EOLE is a work in progress with ongoing enhancements in configuration management, command line entry points, reproducible recipes, core API simplification, and plans for further simplification, refactoring, inference server development, additional recipes, documentation enhancement, test coverage improvement, logging enhancements, and broader model support.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

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)

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and applications. It discusses current limitations and future directions in efficient MLLM research.

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.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

This repository serves as a comprehensive survey on the application of Large Language Models (LLMs) on tabular data, focusing on tasks such as prediction, data generation, and table understanding. It aims to consolidate recent progress in this field by summarizing key techniques, metrics, datasets, models, and optimization approaches. The survey identifies strengths, limitations, unexplored territories, and gaps in the existing literature, providing insights for future research directions. It also offers code and dataset references to empower readers with the necessary tools and knowledge to address challenges in this rapidly evolving domain.

The Eureka Framework is an open-source toolkit that leverages advanced Artificial Intelligence and Decentralized Science principles to revolutionize scientific discovery. It enables researchers, developers, and decentralized organizations to explore scientific papers, conduct AI-driven experiments, monetize research contributions, provide token-gated access to AI agents, and customize AI agents for specific research domains. The framework also offers features like a RESTful API, robust scheduler for task automation, and webhooks for real-time notifications, empowering users to automate research tasks, enhance productivity, and foster a committed research community.

This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.

A helpful guide for Fulton County, GA services and information.

A helpful guide for DeKalb County, GA services and information.

Multilingual Helpful guide for HAU's visitors.

Ask, Guide, Enjoy

City University of Hong Kong Virtual Assistant

Simulation of a virtual emergency dispatcher for training purposes

Creative Director specializing in content for Aldo Civico's brand

AI Drawer

A Bagua master who can provide you with Bagua numerology analysis and lucky advice

Expert Art Director for tailored creative consultations

Consultor para consejos bíblicos, con interpretaciones respetuosas y relevantes.

A guide on healthcare legal planning

A mental board of directors offering balanced, thoughtful decision-making advice.

A chatbot based on the USAID Automated Directives System

辅助《口袋神探 第七季》通过立项会

Especialista em direcionar projetos de leis para comissões

provide a number ,you will find the answer

Provide a prompt followed by multiple participant responses from chatHub delimited by name, or a list of phrase pairs to combine.

Provide the information about each receipt from your shopping.

Spiritual Advisor (1917 Tanakh) draws from the 1917 Tanakh to provide advise and guidance on all of life's difficulties.