Best AI tools for< Filter Job Categories >

The Rundown AI is a platform dedicated to connecting individuals with job opportunities in the field of Artificial Intelligence. It offers a comprehensive database of AI companies and job listings across various categories such as Data Science, Engineering, Product Management, and more. The platform aims to make the world smarter by facilitating career moves in the AI industry, providing a valuable resource for both job seekers and employers.

Hirebase is an AI-powered job search engine that provides ultra-fresh job market data directly from company pages. It uses AI to scan 100,000 jobs in real-time, ensuring that every job listed is actively hiring on the internet. Users can receive email alerts for new job listings based on their preferences for job title, keywords, location, experience level, date posted, salary range, and more. Hirebase aims to 'unsuckify' the job search process by leveraging AI technology to streamline and enhance the job hunting experience.

NextCommit is an AI-driven platform designed to assist tech professionals in landing remote tech jobs. From job discovery to application support, the platform offers tools and insights to simplify the job search process and enhance the presentation of professional skills. With features like Smart Matching, Freshly-Curated Tech Jobs, Refined Search Filters, In-depth CV quality analysis, and Accurate skills assessment, NextCommit aims to streamline the job hunting experience for tech experts.

sqeed is an AI-powered job search platform that revolutionizes the way job seekers find opportunities. By leveraging advanced algorithms and machine learning, sqeed matches candidates with their ideal jobs based on skills, experience, and preferences. The platform offers a seamless and personalized job search experience, saving time and effort for both job seekers and employers. With a user-friendly interface and powerful search capabilities, sqeed is a game-changer in the job market.

Hella Jobs is a leading platform for AI, Machine Learning, and Data Science jobs. It connects job seekers with top employers in the field of AI/ML, allowing employers to post open jobs and hire top talent. Job seekers can create profiles, submit resumes, and find new job opportunities. The platform offers features such as job filtering by keywords and location, job category selection, salary range selection, and job type filtering. Hella Jobs aims to streamline the job search process for both employers and job seekers in the AI/ML industry.

Joby.ai is an AI-powered job search engine that directly scans 500,000 jobs in real-time from company pages. It uses AI technology to find every company and job that is actively hiring on the internet. Users can search for jobs based on various criteria like job title, keywords, location, experience, date posted, salary range, and more. The platform also offers advanced search capabilities, exact keyword search, and the ability to exclude keywords for more precise results. Joby.ai aims to help users find hidden job opportunities that may not be available on traditional job search platforms like LinkedIn or Indeed, ensuring that all listings are current and actively hiring.

Cleafive is an AI-powered tool designed to streamline and optimize the job search process by automating job applications on LinkedIn. Users can specify their job search criteria, provide their CV for profile analysis, and install a Chrome extension to trigger automatic job applications based on their preferences. The tool leverages artificial intelligence to summarize job descriptions, target specific companies, and filter out rejection emails, allowing users to focus on relevant opportunities and save time.

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.

Swiftly AI is an AI-powered recruiting tool designed to streamline the candidate selection process for businesses. By leveraging artificial intelligence, Swiftly AI helps recruiters quickly identify and rank qualified candidates based on specified role requirements. The platform enables users to efficiently filter through a large pool of applicants, saving time and resources in the recruitment process. With Swiftly AI, companies can accelerate their talent search and make data-driven hiring decisions to recruit the most suitable candidates at scale.

Autojob is a job search automation platform that helps users find jobs faster and more efficiently. It offers a range of features, including automatic job application, job filtering, and CV optimization. Autojob is designed to save users time and effort by automating the job search process.

The website is a platform that focuses on AI-related jobs and opportunities. It provides a comprehensive list of job openings in the field of artificial intelligence, including positions such as software engineers, machine learning engineers, NLP engineers, and more. Users can search for jobs based on location, role, and specific tags. The platform also features information about various AI startups and their open positions, aiming to connect job seekers with opportunities in the AI industry.

HireList.io is an AI-driven recruitment software designed to streamline the hiring process for startups. It offers a range of features to help businesses target the right talent, connect with the right candidates, and build their dream team quickly and efficiently. HireList's AI-powered candidate filter narrows down the pool of applicants, highlighting only those who fit the bill. The platform also provides a streamlined hiring pipeline, taking businesses from job posting to welcoming their new hire. With HireList, businesses can create and tailor job postings, review and comment on candidates, and track their progress through the hiring process. The platform also offers communication automation, structured interviews, and performance tracking to help businesses refine their hiring practices.

Huntr is a job search tool that helps users create tailored resumes and cover letters, fill out application forms, and organize their job search. It uses AI to generate resume suggestions, extract keywords from job descriptions, and calculate job match scores. Huntr also has a Chrome extension that allows users to save jobs and autofill applications.

Swooped is an AI-powered platform that offers AI-generated resumes and cover letters optimized to pass ATS system filters and increase visibility to potential employers. It provides personalized job matches, AI-driven resume and cover letter optimization, and a user-friendly interface to streamline the job search process. Swooped helps users save time, apply for more jobs effortlessly, and stand out from the competition to land their dream job.

HireQuotient is an end-to-end recruitment automation platform for non-tech hiring. It supports talent leaders in sourcing, screening, and interviewing top talent in an inclusive way. The platform offers features such as AI-recommended candidate filters, multi-channel outreach automation, and seamless navigation for hiring. HireQuotient's AI tool revolutionizes talent discovery processes, providing warmth, efficiency, and optimization to organizations' people functions.

PS2 AI Filter is an AI-powered tool that allows users to create PS2-style images from their photos. It is easy to use and can be done in seconds. The tool is available as a web app and as an iOS app.

PS2 Filter AI is an online tool that allows users to transform their photos and videos into a PS2-style aesthetic. The tool uses advanced algorithms to replicate the graphic style of PlayStation 2 games, giving users the ability to add a nostalgic, retro gaming look to their content. PS2 Filter AI is easy to use, with a user-friendly interface that makes it simple for anyone to apply the filter and transform their content. The tool is compatible with various file formats and devices, ensuring that users can enjoy the retro gaming aesthetics on any platform.

PS2 Filter AI is an artificial intelligence tool that allows users to transform themselves into PS2 Playstation video game characters with just one click. Users can create PS2 game covers, customize artwork, and relive the nostalgia of the PS2 era through this user-friendly and intuitive AI application. With a range of parameters and advanced features, users can easily craft unique and visually appealing images without the need for artistic or coding skills.

AI Filter is an online tool that allows users to transform their photos using various AI filters such as anime, clay, 3D, pixel, emoji, PS2, sticker, and more. It caters to both beginners and professionals, offering a simple and user-friendly experience to enhance and stylize images. Users can easily upload their photos and apply different filters to give them a unique and artistic touch.

PS2 Filter AI is an online platform that utilizes artificial intelligence to transform photos and images into the distinctive visual style of PlayStation 2 games. By leveraging advanced AI image generation techniques, users can create retro-gaming inspired artwork from their own pictures. The platform offers a user-friendly experience with customizable style options and text prompts to enhance creative freedom. PS2 Filter AI goes beyond traditional filters by faithfully recreating the iconic visuals of the PS2 era, including low polygons, pixelated textures, and unique lighting techniques. With lightning-fast processing, users can generate PS2-style artwork in seconds, making it a fun and creative tool for nostalgic gaming enthusiasts and art enthusiasts alike.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

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.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

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.

Whisper Dictation is a fast, offline, privacy-focused tool for voice typing, AI voice chat, voice control, and translation. It allows hands-free operation, launching and controlling apps, and communicating with OpenAI ChatGPT or a local chat server. The tool also offers the option to speak answers out loud and draw pictures. It includes client and server versions, inspired by the Star Trek series, and is designed to keep data off the internet and confidential. The project is optimized for dictation and translation tasks, with voice control capabilities and AI image generation using stable-diffusion API.

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.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Mobius is an AI infra platform including realtime computing and training. It is built on Ray, a distributed computing framework, and provides a number of features that make it well-suited for online machine learning tasks. These features include: * **Cross Language**: Mobius can run in multiple languages (only Python and Java are supported currently) with high efficiency. You can implement your operator in different languages and run them in one job. * **Single Node Failover**: Mobius has a special failover mechanism that only needs to rollback the failed node itself, in most cases, to recover the job. This is a huge benefit if your job is sensitive about failure recovery time. * **AutoScaling**: Mobius can generate a new graph with different configurations in runtime without stopping the job. * **Fusion Training**: Mobius can combine TensorFlow/Pytorch and streaming, then building an e2e online machine learning pipeline. Mobius is still under development, but it has already been used to power a number of real-world applications, including: * A real-time recommendation system for a major e-commerce company * A fraud detection system for a large financial institution * A personalized news feed for a major news organization If you are interested in using Mobius for your own online machine learning projects, you can find more information in the documentation.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

DeepLearning-Interview-Awesome-2024 is a repository that covers various topics related to deep learning, computer vision, big models (LLMs), autonomous driving, smart healthcare, and more. It provides a collection of interview questions with detailed explanations sourced from recent academic papers and industry developments. The repository is aimed at assisting individuals in academic research, work innovation, and job interviews. It includes six major modules covering topics such as large language models (LLMs), computer vision models, common problems in computer vision and perception algorithms, deep learning basics and frameworks, as well as specific tasks like 3D object detection, medical image segmentation, and more.

Chinese-Tiny-LLM is a repository containing procedures for cleaning Chinese web corpora and pre-training code. It introduces CT-LLM, a 2B parameter language model focused on the Chinese language. The model primarily uses Chinese data from a 1,200 billion token corpus, showing excellent performance in Chinese language tasks. The repository includes tools for filtering, deduplication, and pre-training, aiming to encourage further research and innovation in language model development.

Banks is a linguist professor tool that helps generate meaningful LLM prompts using a template language. It provides a user-friendly way to create prompts for various tasks such as blog writing, summarizing documents, lemmatizing text, and generating text using a LLM. The tool supports async operations and comes with predefined filters for data processing. Banks leverages Jinja's macro system to create prompts and interact with OpenAI API for text generation. It also offers a cache mechanism to avoid regenerating text for the same template and context.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

I translate text to remove condescending or patronizing tones.

Merge a holographic shimmer with RGB splitting for a surreal, digital-art look.

Translates network issues into Wireshark filter syntax.

Provides expert guidance on signal processing in engineering projects.

Hello I'm Air Purifier Servicer Assistant! What would you like help with today?

Expert in crafting and explaining grep commands.

An agent to help write Notion database formulas.

Analyzes json files into JSONPath Syntax elements

GPT used to classify prompts as valid inputs or injection attempts. Json output.

Helps with sorting data on Excel sheets

Describes, interacts, filters & generates zombified visuals.

Upload photo! I will provide clear, concise photo analysis and improvement advice.

Ignora linguagem ofensiva, focando em atendimento qualitativo.

I transform uploaded photos into baby versions.

Turn yourself into a disney character

Upload your photo to see yourself transformed!

Turns photos into Tarantino-style characters.

I transform photos into Soviet-style art

Transform any photo into a visually stunning South Park moment with just a few clicks.

Upload your photo to create an AI persona, then change 🏞️ background, convert to ✏️ cartoon, or edit character styles. Try with selfies, items or pet images!