Best AI tools for< Find Work >

MedicHire is an AI-powered job search engine focused on medical and healthcare professions. It leverages machine learning to provide a comprehensive platform for job seekers and employers in the healthcare industry. The website offers a unique Web Story format for job listings, combining storytelling and technology to enhance the job discovery experience. MedicHire aims to simplify healthcare hiring by automating the recruitment process and connecting top talent with leading healthcare companies.

Joba is an AI-powered platform that revolutionizes the future of work by empowering individuals to curate their identity and find opportunities in a decentralized job marketplace. It utilizes blockchain technology to ensure trustless hiring through on-chain contracts and offers features like invoice tracking, borderless credentials, and crypto payments. Joba aims to provide financial inclusion for remote workers and boasts a highly selective process with a 98% trial-to-hire success rate. The platform is user-friendly, secure, and fosters a global community of top talents and innovative companies.

MagicSchool AI Shop is an online store that sells educational resources and materials for teachers and students. The website offers a wide range of products, including lesson plans, worksheets, activities, and games. MagicSchool AI Shop also provides access to a library of online resources, including videos, articles, and tutorials. The website is designed to be easy to use and navigate, and it offers a variety of payment options. MagicSchool AI Shop is a valuable resource for teachers and students alike.

Working Smarter is a podcast that explores the intersection of AI and modern work. The podcast delves into how AI is revolutionizing various industries, showcasing real-world examples of how AI tools are enhancing collaboration, productivity, and problem-solving. Through interviews with founders, researchers, and engineers, Working Smarter provides insights into the potential of AI to streamline workflows and empower individuals to focus on meaningful tasks.

Workable is a leading recruiting software and hiring platform that offers a full Applicant Tracking System with built-in AI sourcing. It provides a configurable HRIS platform to securely manage employees, automate hiring tasks, and offer actionable insights and reporting. Workable helps companies streamline their recruitment process, from sourcing to employee onboarding and management, with features like sourcing and attracting candidates, evaluating and collaborating with hiring teams, automating hiring tasks, onboarding and managing employees, and tracking HR processes.

Jobs-Scout is an AI-powered job search engine that helps you find your dream job. With Jobs-Scout, you can search for jobs by keyword, location, and industry. You can also filter your search results by salary, experience, and education level. Jobs-Scout also provides personalized job recommendations based on your skills and interests.

Glean is an AI-powered work assistant that helps teams harness generative AI and make better decisions faster. It connects all of your company's data across all of the content, people, and interactions in your organization. Glean's advanced personalization ensures that answers are tailored to who you are, who you work with, and what you're working on. Its Retrieval Augmented Generation (RAG) retrieves the most relevant information and ensures that LLMs answer with the most up-to-date knowledge.

AI Center is a platform that helps users find the best AI tools for their work. It offers a wide range of AI applications designed to enhance productivity, creativity, and decision-making. From market intelligence to video creation, AI Center provides tools for various tasks. Users can explore and discover AI tools tailored to their specific needs and preferences.

TripOffice.com is an AI-powered platform that offers a wide selection of hotels and apartments suitable for remote workers, providing ergonomic workspaces in over 200,000 hotel rooms across 120+ countries. Users can easily search for accommodations based on their workation needs, ensuring a comfortable and productive work environment while traveling. The platform also features a map view for convenient browsing and offers a variety of travel destinations to choose from.

Persana AI is an AI-powered prospecting tool that helps users find, enrich, and personalize outbound leads using over 75 data sources and AI signals. It enables users to build hyper-relevant and targeted lead lists, automate workflows with a powerful AI agent, create personalized messaging, and stay up to date with AI triggers. The platform offers real-time data enrichment, job change tracking, and technographics to boost sales processes and generate a higher pipeline. Trusted by teams and businesses of all sizes, Persana AI revolutionizes sales prospecting workflows with its AI-driven insights and automation capabilities.

Works is a platform that connects enterprises with the top 1% of remote tech talent. It uses advanced AI technology to ensure precision-matching of talent to project requirements, saving time and resources. Works offers transparent pricing with a flat 10% transaction fee and provides risk-free hiring with payment only when the work is completed to satisfaction.

Findmyaitool is a comprehensive directory of AI tools that aims to empower users with the best AI solutions available. The platform offers a wide range of AI tools, including AI image generators, video editors, voice transcription services, writing assistants, productivity tools, and chatbots. Users can explore detailed reviews and comparisons to find the most suitable AI tools for their specific needs, enhancing both productivity and creativity in various industries.

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.

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.

Contra is a commission-free freelance platform that offers a new way to work by enabling users to build, manage, and grow their flexible workforce all in one place. With a talent network of over 800K freelancers and 20K+ teams, Contra empowers companies, agencies, and startups to access global independent experts, streamline flexible hiring processes, and handle tax reporting and compliance efficiently. The platform has been trusted by various professionals and businesses for its user-friendly interface, ease of finding suitable candidates, exceptional support, and full range of features for onboarding and paying freelancers.

AiJobster is a specialized platform designed for job seekers interested in AI-related positions. It focuses on connecting individuals with job opportunities in AI companies and remote AI jobs. The platform provides a user-friendly interface that allows users to search for AI jobs easily. By enabling JavaScript, users can access the full functionality of the app, including job listings, company profiles, and application submission.

Infinite Meals is a web application that provides users with a new meal idea every day. It is powered by GPT-3.5-Turbo-1106 from Open AI. The application is designed to help users find new and exciting recipes to cook. It offers a variety of features, including the ability to search for recipes by category, ingredient, or cuisine. Users can also save their favorite recipes and create meal plans.

Regex.ai is an AI-powered regular expression generator that allows users to insert text and highlight multiple strings to find matching regular expressions. Users can also click on the highlighted text to remove it. The tool is created by Liberty Labs and offers various agents for different regular expression solving tasks.

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.

Papertalk.io is an AI-powered platform that revolutionizes research by providing users with access to over 215 million papers, AI-generated explanations, and actionable insights. The platform offers precision search tools, AI-powered understanding of research papers, and personalized guidance on applying insights practically. Papertalk.io aims to make research more accessible and approachable for users from diverse backgrounds, transforming complex data into easy-to-digest formats to foster innovation and expertise.

Vespa documentation is served using GitHub Project pages with Jekyll. To edit documentation, check out and work off the master branch in this repository. Documentation is written in HTML or Markdown. Use a single Jekyll template _layouts/default.html to add header, footer and layout. Install bundler, then $ bundle install $ bundle exec jekyll serve --incremental --drafts --trace to set up a local server at localhost:4000 to see the pages as they will look when served. If you get strange errors on bundle install try $ export PATH=“/usr/local/opt/[email protected]/bin:$PATH” $ export LDFLAGS=“-L/usr/local/opt/[email protected]/lib” $ export CPPFLAGS=“-I/usr/local/opt/[email protected]/include” $ export PKG_CONFIG_PATH=“/usr/local/opt/[email protected]/lib/pkgconfig” The output will highlight rendering/other problems when starting serving. Alternatively, use the docker image `jekyll/jekyll` to run the local server on Mac $ docker run -ti --rm --name doc \ --publish 4000:4000 -e JEKYLL_UID=$UID -v $(pwd):/srv/jekyll \ jekyll/jekyll jekyll serve or RHEL 8 $ podman run -it --rm --name doc -p 4000:4000 -e JEKYLL_ROOTLESS=true \ -v "$PWD":/srv/jekyll:Z docker.io/jekyll/jekyll jekyll serve The layout is written in denali.design, see _layouts/default.html for usage. Please do not add custom style sheets, as it is harder to maintain.

General is a DART & Flutter library created by AZKADEV to speed up development on various platforms and CLI easily. It allows access to features such as camera, fingerprint, SMS, and MMS. The library is designed for Dart language and provides functionalities for app background, text to speech, speech to text, and more.

General Framework is a cross-platform library designed to help create apps with a unified codebase using Flutter. It offers features such as cross-platform support, standardized style code, a CLI for easier usage, API integration for bot development, customizable extensions for faster development, and user-friendly information. The library is intended to streamline the app, server, bot, and userbot creation process by providing a comprehensive set of tools and functionalities.

PC Agent introduces a novel framework to empower autonomous digital agents through human cognition transfer. It consists of PC Tracker for data collection, Cognition Completion for transforming raw data, and a multi-agent system for decision-making and visual grounding. Users can set up the tool in Python environment, customize data collection with PC Tracker, process data into cognitive trajectories, and run the multi-agent system. The tool aims to enable AI to work autonomously while users sleep, providing a cognitive journey into the digital world.

LLMsForTimeSeries is a repository that questions the usefulness of language models in time series forecasting. The work shows that simple baselines outperform most language model-based time series forecasting models. It includes ablation studies on LLM-based TSF methods and introduces the PAttn method, showcasing the performance of patching and attention structures in forecasting. The repository provides datasets, setup instructions, and scripts for running ablations on different datasets.

The 'llm-past-tense' repository contains code related to the research paper 'Does Refusal Training in LLMs Generalize to the Past Tense?' by Maksym Andriushchenko and Nicolas Flammarion. It explores the generalization of refusal training in large language models (LLMs) to the past tense. The code includes experiments and examples for running different models and requests related to the study. Users can cite the work if found useful in their research, and the codebase is released under the MIT 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.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

This repository contains the official code for the paper 'Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning'. It provides tools for point cloud segmentation experiments based on different settings, tree parameters extraction, handling large point clouds through tiling, predicting, and merging workflows. Additionally, it includes commands for training, testing, and evaluating the models, along with the necessary datasets and pretrained models.

Awesome-Audio-LLM is a repository dedicated to various models and methods related to audio and language processing. It includes a wide range of research papers and models developed by different institutions and authors. The repository covers topics such as bridging audio and language, speech emotion recognition, voice assistants, and more. It serves as a comprehensive resource for those interested in the intersection of audio and language processing.

A chat interface using open source models, eg OpenAssistant or Llama. It is a SvelteKit app and it powers the HuggingChat app on hf.co/chat.

chatgpt-shell is a multi-LLM Emacs shell that allows users to interact with various language models. Users can swap LLM providers, compose queries, execute source blocks, and perform vision experiments. The tool supports customization and offers features like inline modifications, executing snippets, and navigating source blocks. Users can support the project via GitHub Sponsors and contribute to feature requests and bug reports.

This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mistral AI's Mixtral, Langchain.JS, Brave Search, Serper API, and OpenAI. Designed to efficiently return sources, answers, images, videos, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.

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).

Companion is an Obsidian plugin that adds an AI-powered autocomplete feature to your note-taking and personal knowledge management platform. With Companion, you can write notes more quickly and easily by receiving suggestions for completing words, phrases, and even entire sentences based on the context of your writing. The autocomplete feature uses OpenAI's state-of-the-art GPT-3 and GPT-3.5, including ChatGPT, and locally hosted Ollama models, among others, to generate smart suggestions that are tailored to your specific writing style and preferences. Support for more models is planned, too.

The KAN-GPT repository is a PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling. It provides a model for generating text based on prompts, with a focus on improving performance compared to traditional MLP-GPT models. The repository includes scripts for training the model, downloading datasets, and evaluating model performance. Development tasks include integrating with other libraries, testing, and documentation.

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.

MMStar is an elite vision-indispensable multi-modal benchmark comprising 1,500 challenge samples meticulously selected by humans. It addresses two key issues in current LLM evaluation: the unnecessary use of visual content in many samples and the existence of unintentional data leakage in LLM and LVLM training. MMStar evaluates 6 core capabilities across 18 detailed axes, ensuring a balanced distribution of samples across all dimensions.

Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.

EmbodiedScan is a holistic multi-modal 3D perception suite designed for embodied AI. It introduces a multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. The dataset includes over 5k scans with 1M ego-centric RGB-D views, 1M language prompts, 160k 3D-oriented boxes spanning 760 categories, and dense semantic occupancy with 80 common categories. The suite includes a baseline framework named Embodied Perceptron, capable of processing multi-modal inputs for 3D perception tasks and language-grounded tasks.

Your virtual gym assistant for workout routines and fitness advice.

A men's fitness guide for workouts, nutrition, and wellness.

Atlas, your dynamic AI fitness guide, now with web search for the latest in fitness innovation and advice.

Start with "Recommend me a song"

Find Co-Working spaces worldwide, get remote work advice and digital nomad hacks.

Assists creators in finding ideal live/work spaces.

Advises on embracing a digital nomad lifestyle, covering aspects like remote work, travel planning, and living abroad.

NomadGPT helps you become a digital nomad and find you the best places in the world to live and work remotely

If you're an AEC professional, I can help you find the best AI tool for your work.

Agile expert providing practical, step-by-step advice with the agile way of working of your team and organisation. Whether you're looking to improve your Agile skills or find solutions to specific problems. Including Scrum, Kanban and SAFe knowledge.

使用GPTS快速识别关键因素，提高决策效率和工作效率，找到关键的20%，Use GPTS to quickly identify key factors, improve decision-making efficiency and work efficiency, and find the key 20%.

Conduct various flexible analyses and inquiries based on official information about companies with work visa sponsorship qualifications.

This GPT follows 10 questions from Y Combinator for co-founders to discuss before deciding to work together. Co-founders answer the questions separately and receive unique IDs. To check compatibility, provide two IDs. Co-founder GPT has a long-term memory, so write down your ID for future checks.

This tool is designed to locate the ideal GPT model tailored to your specific requirements. Simply articulate your needs, and it will diligently work to identify the perfect GPT solution for you.

I find housing options for the homeless.

Navigate the world of adult friendships. Tailored advice to help you find and nurture meaningful connections7

I'm a fun and friendly global job search guide.

I'm your holiday helper for gift ideas!

Helps disabled people globally find and claim their benefits.

AI assistant that can help find placements and internships.