Best AI tools for< Auto-submit Applications >

Apply.Dog is an AI-powered tool that automates the job application process. It fills out online job applications for you, saving you time and effort. With Apply.Dog, you can focus on finding the right job for you, while we take care of the tedious task of filling out applications.

AixyAI Directory is an AI tool designed to provide users with a curated list of the best and latest AI tools available. Users can submit their own AI tools, log in to access personalized features, and discover new tools in the AI space. The platform aims to simplify the process of finding the most suitable AI tools for various needs by offering a comprehensive directory of options.

AutoJobs is an AI-powered tool designed to streamline the job application process. It leverages artificial intelligence to automatically apply to job listings on behalf of users, saving time and effort. By analyzing job requirements and user profiles, AutoJobs matches candidates with suitable positions and submits applications seamlessly. With a user-friendly interface, it offers a convenient solution for job seekers looking to increase their chances of landing interviews and job offers.

The website offers an auto backend service for users to describe and customize their backend functionalities. Users can create a to-do list, view Reddit trending topics, get random Pokemon, use a Twitter clone, manage a calendar, check Ethereum balance, and submit descriptions. The site is currently experiencing rate limits due to heavy traffic.

Vivid is a tool that syncs Figma designs with your codebase by generating and updating UI code. It allows users to submit designs directly in Figma, make edits to generated divs, and sync changes with design updates. Vivid isolates design styles, making it easier for developers to focus on functionality. The tool minimizes style clutter and provides auto-updating code that tracks changes in Figma.

Auto Caption AI is an easy-to-use tool that generates subtitles in one click using AI. It supports over 99 languages, is extremely fast, fully editable, and offers ready-to-use templates and animated emojis. With Auto Caption AI, you can save hours of editing time and create high-quality subtitles for your videos.

Auto-GPT is an autonomous AI assistant application that aims to revolutionize the way people interact with AI technology. It is a fast-growing open-source project on GitHub that leverages deep learning algorithms to generate human-like text based on input prompts. The application is designed to be versatile, capable of tasks such as content creation, customer service, and more. Auto-GPT is constantly evolving with rapid progress, thanks to the contributions of the open-source community.

Auto Seduction AI is a cutting-edge AI-powered tool designed to revolutionize your online dating experience. With its advanced algorithms and personalized approach, Auto Seduction AI empowers you to craft irresistible conversation starters and messages that will leave a lasting impression on potential matches. Whether you're looking to break the ice, flirt effortlessly, or set up a date with confidence, Auto Seduction AI has got you covered. Its user-friendly interface and comprehensive features make it the perfect wingman for anyone seeking success in the world of online dating.

Auto Blogging is a groundbreaking, A.I. auto-blogging tool that simplifies your work process by automating content creation. This unique tool leverages real data from search engines to automatically create and optimize content, putting your articles in the best position to rank for their keywords.

Auto Ai Assistant is an AI-powered content creation tool designed to streamline the process of autoblogging. By simply inputting a keyword, users can automate the creation of SEO-friendly articles, social media posts, and web copies. The tool leverages OpenAI technology to generate human-readable content, eliminating the need for manual structuring and optimization. With features like advanced dashboard, multilingual support, high index ratio, social platform integration, and fast customer support, Auto Ai Assistant aims to revolutionize content creation for websites and social media platforms.

The website offers an AI Localization tool for Xcode and App Store Connect, aiming to simplify the localization process for developers. It provides features such as instant localization for Xcode projects, seamless App Store Connect integration, and high-quality translations powered by OpenAI's ChatGPT models. The tool supports various platforms like Java, Android Studio, Flutter, .NET, and Unity projects, making it a versatile solution for app localization.

Auto Gmail is a Chrome extension that connects to your Gmail inbox and uses your data and ChatGPT to draft email responses to every inbound message. It is the best way of saving hours every day. Instead of improving your productivity with shortcuts or apps like Superhuman, simply let our AI learn about you and answer all your emails instead of you. You don't need to click or instruct the AI, it works on mobile and desktop and writes emails even when you're not in Gmail. Upon opening your inbox, you'll see the new drafts, ready to be sent. Your inbox contains everything you ever sent and therefore a big part of your knowledge. Stop repeating the same things and let Auto Gmail do the work. You stay in the driver seat of course and no email is ever sent without you actually hitting that "Send" button. Upon installation, drafts will appear even on the mobile app, allowing you to answer faster while on the go. You can instruct the AI and give it additional context such as links you'd like it to use (calendar links, tutorials, product pages and so on). Under the hood, Auto Gmail works by connecting to the Gmail API and uses ChatGPT (GPT 4) to draft email answers. For context, the most similar emails are passed along to help ChatGPT draft the most relevant answers. Auto Gmail retrains every week on your latest messages to stay up to date on new knowledge you sent per email.

Auto Streamer & Course Maker is an AI tool that allows users to create and stream educational content effortlessly. It enables users to generate complete web courses with audio, supports over 50 languages, and offers customizable course presentation options. With Auto Streamer, users can break language barriers, personalize teaching portals, and control course density. The tool is visually appealing, with dark and light mode options, and allows users to define course length and content depth. Auto Streamer requires an OpenAI API key for text and audio content generation.

WP Auto AI Image is a WordPress plugin that allows users to generate unique, high-quality images using OpenAI's DALL-E 2. With this plugin, users can easily connect to the OpenAI API and create stunning images that perfectly match the content of their blog posts or website pages. The plugin is incredibly affordable and can quickly pay for itself in time and image licenses. It is available in three pricing plans: 1 Site ($29), Up to 10 Sites ($49), and Unlimited Sites ($99).

AutoSEO is an AI-powered tool designed to transform the content creation process on WordPress websites. By utilizing advanced artificial intelligence technology, AutoSEO automates and accelerates the production of SEO-optimized web content, enabling users to generate a large quantity of high-quality articles efficiently. The tool integrates seamlessly with WordPress and leverages OpenAI's technology to create content in multiple languages, making it a versatile solution for global content creation.

AutoResponder.ai is an application that allows users to set up automatic replies to messages on various messaging platforms, including WhatsApp, Facebook Messenger, Instagram, Telegram, Signal, and Viber. It offers features such as customizable automatic replies, unlimited message creation, and integration with external services like ChatGPT and Tasker. The application is designed to save users time and effort by automating the process of responding to messages.

EasySub is an online automatic subtitle generator and editor that uses advanced AI algorithms to generate accurate subtitles for videos and audio files. It supports over 150 languages, multiple export resolutions, and allows users to easily add text and subtitles to videos. EasySub is free to use and offers a variety of features, including automatic transcription, subtitle translation, and video editing.

NeuroSpell is a universal auto-corrector powered by deep learning. It can be used to correct spelling, grammar, and style errors in text. NeuroSpell can be deployed on-premise or in the cloud, and it can be trained on domain-specific vocabulary and sentence structures. NeuroSpell is used by businesses and individuals to improve the quality of their written communication.

DubTitles is an AI-powered tool that helps users automatically generate subtitles for YouTube videos and podcasts. It supports over 50 languages and provides accurate and contextually relevant subtitles. The tool is easy to use, simply paste the YouTube link or upload the audio file, select the original and desired subtitle languages, and let the AI work its magic.

Fullpath is a Customer Data Platform (CDP) designed specifically for auto dealerships, powered by AI technology. It helps dealerships organize and activate their first-party data to gain deep insights into shoppers and inventory. The platform offers features such as identity resolution, audience building, data activation, marketing automation, and AI-driven insights to create hyper-personalized customer experiences. Fullpath aims to enhance dealership operations, improve customer relationships, and increase sales through data-driven decision-making and targeted marketing campaigns.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

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.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

README-AI is a developer tool that auto-generates README.md files using a combination of data extraction and generative AI. It streamlines documentation creation and maintenance, enhancing developer productivity. This project aims to enable all skill levels, across all domains, to better understand, use, and contribute to open-source software. It offers flexible README generation, supports multiple large language models (LLMs), provides customizable output options, works with various programming languages and project types, and includes an offline mode for generating boilerplate README files without external API calls.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

agentUniverse is a framework for developing applications powered by multi-agent based on large language model. It provides essential components for building single agent and multi-agent collaboration mechanism for customizing collaboration patterns. Developers can easily construct multi-agent applications and share pattern practices from different fields. The framework includes pre-installed collaboration patterns like PEER and DOE for complex task breakdown and data-intensive tasks.

Langchain.rb is a Ruby library that makes it easy to build LLM-powered applications. It provides a unified interface to a variety of LLMs, vector search databases, and other tools, making it easy to build and deploy RAG (Retrieval Augmented Generation) systems and assistants. Langchain.rb is open source and available under the MIT License.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

Suno AI API is an open-source project that allows developers to integrate the music generation capabilities of Suno.ai into their own applications. The API provides a simple and convenient way to generate music, lyrics, and other audio content using Suno.ai's powerful AI models. With Suno AI API, developers can easily add music generation functionality to their apps, websites, and other projects.

Praison AI is a low-code, centralised framework that simplifies the creation and orchestration of multi-agent systems for various LLM applications. It emphasizes ease of use, customization, and human-agent interaction. The tool leverages AutoGen and CrewAI frameworks to facilitate the development of AI-generated scripts and movie concepts. Users can easily create, run, test, and deploy agents for scriptwriting and movie concept development. Praison AI also provides options for full automatic mode and integration with OpenAI models for enhanced AI capabilities.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

Multi-Agent Orchestrator is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries to the most suitable agent based on context and content, supports dual language implementation in Python and TypeScript, offers flexible agent responses, context management across agents, extensible architecture for customization, universal deployment options, and pre-built agents and classifiers. It is suitable for various applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.

Olares is an open-source sovereign cloud OS designed for local AI, enabling users to build their own AI assistants, sync data across devices, self-host their workspace, stream media, and more within a sovereign cloud environment. Users can effortlessly run leading AI models, deploy open-source AI apps, access AI apps and models anywhere, and benefit from integrated AI for personalized interactions. Olares offers features like edge AI, personal data repository, self-hosted workspace, private media server, smart home hub, and user-owned decentralized social media. The platform provides enterprise-grade security, secure application ecosystem, unified file system and database, single sign-on, AI capabilities, built-in applications, seamless access, and development tools. Olares is compatible with Linux, Raspberry Pi, Mac, and Windows, and offers a wide range of system-level applications, third-party components and services, and additional libraries and components.

No-code Auto Agent Prompting.

Expert en recherche de peinture auto et moto

Expert in automotive trade provide information for your car needs.

Your go-to source for the latest GTA news

This GPT help you on one single task, generating valid OpenAI Schemas for Custom Actions in GPTs

Advanced vehicle assessment tool with extensive capabilities.

Formal and professional car designer, specializing in both futuristic and classic car concepts.

A helpful guide for car buyers, focusing on potential issues with different car models.

Auto painting agent running with LLMermaid. Type "continue" for to continue tasks.

Deep, insightful encyclopedia on automobiles, rich in facts, history, and culture.

Expert on auto loans, car financing, and interest rates.

The Bot provides guidance and contact for auto-hypnosis sessions

Informative guide for judging classic cars in a virtual show.

Prompt Engineer automatically enhances the prompt, autonomously reasons based on that prompt, and generates exceptional responses.

GTA series expert, ready to discuss all things GTA, especially GTA 6.

Helps you craft and setup Auto-Reply SMS message on iOS and macOS.

🎨 Custom wraps inspired by themes, movies, books

retalk

A gpt expert at solving programming problems. We have open-sourced the prompt here: https://github.com/ai-boost/awesome-gpts-prompts (This GPT isn't perfect, let's improve it together! 😊🛠️)