Best AI tools for< find a vet or pet sitter >

Ruru is an AI-powered virtual assistant designed to answer all your pet-related questions. With Ruru, you can get quick and convenient answers to your questions from the comfort of your own home or on the go. Ruru is available 24/7, so you can get answers to your questions anytime, anywhere. Plus, Ruru is always learning and growing, so she can provide you with the most up-to-date information on pet care.

PetsApp is a veterinary engagement and communication platform that helps veterinary teams save time, grow their business, and delight customers. It offers a range of features including text and SMS chat, appointment booking, reminders, digital payments, video calls, AI-assisted communication (CoPilot), Wellness and Loyalty Plans.

Ask AI Vet is an online platform that provides free veterinary advice using advanced artificial intelligence technology. Users can ask specific questions about their pets' health and receive quick responses within 5 minutes. The platform is designed to offer general recommendations and preliminary evaluations, but it is not a substitute for professional veterinary care. AI Vet uses OpenAI GPT technology models to generate answers for a wide range of pet-related queries.

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.

Jobo is an AI-powered career assistant that helps you find your ideal job, enhance your resume, and apply for jobs, all in one go. It uses OpenAI's technology to personalize and optimize your job search, making it easier for you to land your dream job.

Naming Magic is a tool that uses AI to help you name your company and find an available domain. It was created by Swift Ventures, a venture capital firm that invests in AI and data-first businesses. The tool is designed to help entrepreneurs and business owners come up with creative and memorable names for their companies. It can also help you find a domain name that is available and relevant to your business.

TripOffice.com is a platform that offers a wide selection of over 200,000 hotels suitable for remote workers and digital nomads. Users can easily find hotels with amenities such as high-speed internet, ergonomic chairs, and professional desks, making it convenient for individuals looking for workation-friendly accommodations. The website allows users to search for nomad-friendly hotels and compare prices from over 40 sites across 120+ countries. With a focus on providing comfortable work environments for travelers, TripOffice.com aims to cater to the needs of modern professionals seeking remote work opportunities while traveling.

Rizz Check is a swipe game where users can befriend AI celebrities and ask them on dates. The game is built with Rizz, a library created by boredhead00.

Existential is an AI-powered career exploration platform that helps you discover your true calling. Our platform uses a combination of psychometric assessments, AI algorithms, and expert career counseling to help you identify your strengths, interests, and values. We then match you with a personalized list of career paths that are a good fit for you.

MiGuru is a platform designed to help you find your next job quickly and efficiently. Today it has a job search engine that consolidates the public offers of the Chilean market. Through the use of artificial intelligence, we learn from your answers and use information from your CV to complete your applications automatically. In addition, we support you in improving your CV through a complete personalized report with recommendations based on industry best practices, analyzed using artificial intelligence.

AI Fragrance Finder is a website that uses artificial intelligence to help users find the perfect fragrance. The website has a database of over 1,000 fragrances, and users can search for fragrances by scent, notes, and occasion. AI Fragrance Finder also provides personalized recommendations based on the user's preferences.

Maching.ai is an AI-powered job matching platform that helps users find their ideal jobs. The platform uses a variety of AI techniques to match users with jobs that are a good fit for their skills, interests, and career goals. Maching.ai also provides users with a variety of resources to help them with their job search, including resume writing tips, interview preparation advice, and salary negotiation guidance.

AI Date ideas is a free AI-based date idea generator that provides users with unique and personalized date ideas based on their preferences. The tool is designed to help users find amazing date ideas faster and easier, and it offers a variety of filters to help users narrow down their search. AI Date ideas is also fully customizable, so users can create their own date ideas or modify existing ones to fit their needs.

LooksMax AI is a website that allows users to upload a photo of themselves and receive a rating based on their attractiveness. The website uses artificial intelligence to analyze the user's facial features and determine their overall attractiveness. LooksMax AI is a popular website, with over 2 million users. It has been featured in several media outlets, including The New York Times and The Wall Street Journal.

Cuspera is an AI-powered software recommendation platform that helps businesses find the right software for their marketing and sales needs. It provides personalized software recommendations based on a business's specific needs and has a knowledgebase of over 17,000 software products. Cuspera's AI is trained on insights from peers and experts to guide businesses to the right software and recommends best practices from peer and expert experiences.

PouncerAI is an AI proposal tool designed for freelancers on Upwork to help them get more work quickly and efficiently. It offers powerful features such as AI-generated cover letters, job organization tools, real-time job alerts, and a unique Upstyler toolbar for enhancing cover letters. PouncerAI aims to streamline the job search process on Upwork by providing freelancers with the tools they need to stand out and win more jobs.

Quicktools is a website that offers a variety of free online tools, including AI text, image, design, and other tools. The website is easy to use and does not require any sign-up. Quicktools is used by over 4,000,000 people monthly.

Digital First AI is a cutting-edge marketing platform powered by AI technology. It offers AI Workflows, multi-LLM agents, and a user-friendly interface. The platform provides personalized marketing tactics, growth-hacking strategies, and content generation using AI algorithms. It helps businesses create and execute marketing plans in seconds, optimize growth, and increase revenue. Digital First AI is designed to assist startups, entrepreneurs, organizations, and businesses of all sizes in enhancing their marketing strategies and achieving sustainable growth.

My Travel Brain is an AI-powered travel planning tool that helps users discover, plan, and book their perfect getaway. The tool uses AI to analyze data on flight prices, hotel availability, and weather conditions to help users find the best deals and travel at the optimal time. My Travel Brain also provides users with personalized recommendations based on their preferences and budget.

Story Path is an AI-powered book planning and writer's block cure app. It helps writers plan their stories, generate fresh ideas, and overcome writer's block. With Story Path, writers can input a brief description of their story and the app will generate branching options for the plot. Writers can then expand and explore their favorite paths and customize the details to their liking. Story Path is a valuable tool for writers of all levels, from beginners to published authors.

ShapeLLM is the first 3D Multimodal Large Language Model designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. It supports single-view colored point cloud input and introduces a robust 3D QA benchmark, 3D MM-Vet, encompassing various variants. The model extends the powerful point encoder architecture, ReCon++, achieving state-of-the-art performance across a range of representation learning tasks. ShapeLLM can be used for tasks such as training, zero-shot understanding, visual grounding, few-shot learning, and zero-shot learning on 3D MM-Vet.

Hof is a CLI tool that unifies data models, schemas, code generation, and a task engine. It allows users to augment data, config, and schemas with CUE to improve consistency, generate multiple Yaml and JSON files, explore data or config with a TUI, and run workflows with automatic task dependency inference. The tool uses CUE to power the DX and implementation, providing a language for specifying schemas, configuration, and writing declarative code. Hof offers core features like code generation, data model management, task engine, CUE cmds, creators, modules, TUI, and chat for better, scalable results.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

Uni-MoE is a MoE-based unified multimodal model that can handle diverse modalities including audio, speech, image, text, and video. The project focuses on scaling Unified Multimodal LLMs with a Mixture of Experts framework. It offers enhanced functionality for training across multiple nodes and GPUs, as well as parallel processing at both the expert and modality levels. The model architecture involves three training stages: building connectors for multimodal understanding, developing modality-specific experts, and incorporating multiple trained experts into LLMs using the LoRA technique on mixed multimodal data. The tool provides instructions for installation, weights organization, inference, training, and evaluation on various datasets.

OpenKF (Open Knowledge Flow) is an online intelligent customer service system. It is an open-source customer service system based on OpenIM, supporting LLM (Local Knowledgebase) customer service and multi-channel customer service. It is easy to integrate with third-party systems, deploy, and perform secondary development. The system provides features like login page, config page, dashboard page, platform page, and session page. Users can quickly get started with OpenKF by following the installation and run instructions. The architecture follows MVC design with a standardized directory structure. The community encourages involvement through community meetings, contributions, and development. OpenKF is licensed under the Apache 2.0 license.

VLMEvalKit is an open-source evaluation toolkit of large vision-language models (LVLMs). It enables one-command evaluation of LVLMs on various benchmarks, without the heavy workload of data preparation under multiple repositories. In VLMEvalKit, we adopt generation-based evaluation for all LVLMs, and provide the evaluation results obtained with both exact matching and LLM-based answer extraction.

Recent LLM (Large Language Models)-based CV and multi-modal works.

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.

Warp is a blazingly-fast modern Rust based GPU-accelerated terminal built to make you and your team more productive. It is available for macOS and Linux users, with plans to support Windows and the Web (WASM) in the future. Warp has a community search page where you can find solutions to common issues, and you can file issue requests in the repo if you can't find a solution. Warp is open-source, and the team is planning to first open-source their Rust UI framework, and then parts and potentially all of their client codebase.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

This repository contains a collection of tools that can be used with vastai. The tools are free to use, modify and distribute. If you find this useful and wish to donate your welcome to send your donations to the following wallets. BTC 15qkQSYXP2BvpqJkbj2qsNFb6nd7FyVcou XMR 897VkA8sG6gh7yvrKrtvWningikPteojfSgGff3JAUs3cu7jxPDjhiAZRdcQSYPE2VGFVHAdirHqRZEpZsWyPiNK6XPQKAg RVN RSgWs9Co8nQeyPqQAAqHkHhc5ykXyoMDUp USDT(ETH ERC20) 0xa5955cf9fe7af53bcaa1d2404e2b17a1f28aac4f Paypal PayPal.Me/cryptolabsZA

Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.

Activepieces is an open source replacement for Zapier, designed to be extensible through a type-safe pieces framework written in Typescript. It features a user-friendly Workflow Builder with support for Branches, Loops, and Drag and Drop. Activepieces integrates with Google Sheets, OpenAI, Discord, and RSS, along with 80+ other integrations. The list of supported integrations continues to grow rapidly, thanks to valuable contributions from the community. Activepieces is an open ecosystem; all piece source code is available in the repository, and they are versioned and published directly to npmjs.com upon contributions. If you cannot find a specific piece on the pieces roadmap, please submit a request by visiting the following link: Request Piece Alternatively, if you are a developer, you can quickly build your own piece using our TypeScript framework. For guidance, please refer to the following guide: Contributor's Guide

Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.

Deej-A.I. is an advanced machine learning project that aims to revolutionize music recommendation systems by using artificial intelligence to analyze and recommend songs based on their content and characteristics. The project involves scraping playlists from Spotify, creating embeddings of songs, training neural networks to analyze spectrograms, and generating recommendations based on similarities in music features. Deej-A.I. offers a unique approach to music curation, focusing on the 'what' rather than the 'how' of DJing, and providing users with personalized and creative music suggestions.

The WhatsApp AI Assistant repository offers a chatbot named Sydney that serves as an AI-powered personal assistant. It utilizes Language Model (LLM) technology to provide various features such as Google/Bing searching, Google Calendar integration, communication capabilities, group chat compatibility, voice message support, basic text reminders, image recognition, and more. Users can interact with Sydney through natural language queries and voice messages. The chatbot can transcribe voice messages using either the Whisper API or a local method. Additionally, Sydney can be used in group chats by mentioning her username or replying to her last message. The repository welcomes contributions in the form of issue reports, pull requests, and requests for new tools. The creators of the project, Veigamann and Luisotee, are open to job opportunities and can be contacted through their GitHub profiles.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

I'm your coach for benefits filing!

Personal assistant to Let's Adopt International. Ask me anything about animal rescue, vet sciences and Let's Adopt

A supportive companion for veterans seeking mental health guidance.

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

Find the perfect match for your design needs

I help you find a Show or Sporting Event on a Streaming Platform or Channel.

Helps users find stores and businesses with practical, location-based advice.

Find a recruiter in your industry, specialism, and location

This GPT assists in finding a top-rated accountant CPA - local or virtual. We account for their qualifications, experience, testimonials and reviews. Whether business or personal, provide a short description of the services wanted and city or state.

This GPT assists in finding a top-rated Virtual Creator specialized CPA - local or virtual. Accounting or Taxes, a CPA that aligns with your business! We account for their qualifications, experience, testimonials and reviews. Provide the services you require and your city or state.

Find a home in Europe (GPT for homestra.com)

Find a fishing spot in Australia

This AI tool by Learning Revolution and Hepler Consulting helps you find a good book to read, as well as its corresponding record on WorldCat.org.

This GPT will help you choose a market you could start creating a business in using Ed Dales 30 Day Challenge version of the Japanese Ikigai Process

Je t'aide à trouver ton métier idéal !

A mental health assistant to help choose a therapist based on needs, insurance, and location.

A helpful assistant for finding the perfect campground

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

A comprehensive Nationwide database of law firms and lawyers, including specialties, locations, and contact information with live URLs.

A funny virtual Dating Game Show.