Best AI tools for< Skip Job >
20 - AI tool Sites
AI Resume and Cover Letter Builder
The AI Resume and Cover Letter Builder is an AI tool designed to assist mid-career professionals in creating tailored resumes and cover letters that showcase their achievements and skills. By leveraging AI-powered suggestions, users can easily craft winning resumes and cover letters, increasing their chances of landing their dream job. The tool eliminates the need for expensive career coaches, boring Word templates, and hours of frustrating writing, offering an affordable and efficient solution for job seekers.
SimpleBio
SimpleBio is an AI-powered tool that helps users turn their LinkedIn profiles into personalized websites quickly and easily. By leveraging AI technology, SimpleBio allows users to skip writer's block and generate the first draft of their personal webpage. Users can customize the design by choosing colors and fonts, adding social media links and projects. With SimpleBio, users can create a polished and professional online presence in just 2 minutes, enhancing their LinkedIn profiles and providing a link-in-bio for various purposes.
Skip
Skip is a BBB accredited company empowering entrepreneurs and small businesses through funding and growth solutions. It offers a marketplace for grants, loans, and financing options, as well as funding insights, eligibility checks, and expert assistance. Skip also has an AI tool to help users with funding-related questions.
AI Intern
AI Intern is an AI-powered application that helps users streamline their workflow by efficiently completing research, generating quality content, and responding to a wide range of questions. It assists in various tasks such as crafting emails, creating design concepts, and generating different types of content. The application utilizes artificial intelligence to provide accurate responses, although users are advised to exercise discretion due to the evolving nature of AI technology.
LangCall
LangCall is an AI-powered application that allows users to skip the hassle of making phone calls by letting AI agents handle the entire process. From navigating phone menus to connecting you with a human representative, LangCall ensures hold-free calls and fully automated AI interactions. Users can monitor call conversations in real-time and receive AI-generated summaries online. With a simple 1-2-3 process, LangCall offers a user-friendly web interface for effortless call management. The application offers different pricing plans based on usage, starting from a free plan with limited AI calls to premium plans for higher usage.
SkipWatch
SkipWatch is an AI-powered YouTube summarizer that allows users to quickly generate video summaries, saving time and enhancing learning efficiency. With SkipWatch, users can access key information from YouTube videos in seconds, breaking language barriers and accelerating learning. The tool is designed to boost productivity by providing instant video summaries and extracting essential content from videos. Users can easily install SkipWatch as a Chrome extension and enjoy the benefits of efficient content consumption.
Code99
Code99 is an AI-powered platform designed to speed up the development process by generating instant boilerplate code. It allows users to customize their tech stack, streamline development, and launch projects faster. Ideal for startups, developers, and IT agencies, Code99 offers features such as authentication, database support, CRUD REST APIs, data validation, Swagger API documentation, email integration, state management, and more. The platform aims to supercharge productivity by enabling the rapid creation of production-ready apps in minutes, with AI handling the heavy lifting. Users can choose from popular frameworks and databases, customize features, and effortlessly edit and experiment with their projects.
Trends Critical
Trends Critical is an AI text generation SaaS application that leverages AI to provide faster and better outcomes by discovering the latest niche trends. It helps users growth-hack with multiple cross-industry insights, backed by real-life hype trends and mental models. The platform supports over 50 languages and offers hidden trends, mental models, AI and document templates, and updates. With a global user base and partner companies, Trends Critical focuses on partnerships to stay ahead of the hype trends.
OpinioAI
OpinioAI is an AI-powered market research tool that allows users to gain business critical insights from data without the need for costly polls, surveys, or interviews. With OpinioAI, users can create AI personas and market segments to understand customer preferences, affinities, and opinions. The platform democratizes research by providing efficient, effective, and budget-friendly solutions for businesses, students, and individuals seeking valuable insights. OpinioAI leverages Large Language Models to simulate humans and extract opinions in detail, enabling users to analyze existing data, synthesize new insights, and evaluate content from the perspective of their target audience.
DealMachine
DealMachine is a real estate investing platform that provides tools and resources to help investors find, analyze, and acquire off-market properties. The platform includes a variety of features such as driving for dollars, list building, unlimited contact info, marketing automation, and a real estate AI assistant. DealMachine is designed to help investors streamline their real estate investing process and close deals faster.
bgremove.club
bgremove.club is a free online background remover powered by AI. It can automatically remove the background from any image, making it easy to create transparent PNGs. The tool is 100% free to use and does not require any registration.
Descript
Descript is an AI-powered video and podcast editing tool that allows users to edit videos and podcasts like a document. It offers features such as easy video editing, multitrack audio editing, AI-generated clips, crystal-clear recording rooms, automatic transcription, AI speech generation, and more. Descript is designed to streamline the editing process and enhance creativity for content creators. It also provides AI features for market promotion, creating clips, YouTube descriptions, show notes, translation, and more. With Underlord AI assistant, teams can collaborate efficiently and produce high-quality videos. The platform caters to various functions like marketing, sales, learning and development, customer success, and support, making it a versatile tool for content creation.
Noiz Video Summarizer
Noiz Video Summarizer is an AI-powered tool designed to summarize YouTube videos efficiently. With just one click, users can get expert-level summaries for videos of any topic and length. The tool offers smart summaries in 41 languages, transforms videos into readable text, and helps users save time by providing concise summaries. Noiz has received positive feedback from over 500,000 users who appreciate its time-saving features and efficiency in summarizing video content.
NutshellPro
NutshellPro is an AI-powered tool that allows users to summarize any video or audio file. It uses advanced natural language processing and machine learning algorithms to extract the key points and generate a concise, easy-to-read summary. NutshellPro is designed to help users save time and effort by quickly getting the gist of any video or audio content.
CognitiveMill™
CognitiveMill™ is a cognitive computing cloud platform designed specifically for the media and entertainment industry. It offers a range of AI-powered solutions for automating video content analysis and production workflows, including automated movie trailer generation, skip intro and outro detection, AI-based celebrity listing automation, nudity filtering, automated subtitle generation, video ad detection and replacement, context-aware video ad insertion, logo detection for branding, automated sports highlights generation, esports games highlights generation, automated video clipping with AI, video summaries, and vertical media adaptation for social networks.
GPT-AdBlocker
GPT-AdBlocker is an AI-powered ad-blocking tool that utilizes the advanced capabilities of GPT-4 to block all types of advertisements, including in-video ads, banners, popups, and trackers. It offers a seamless browsing experience by ensuring a secure and fast environment while watching videos or browsing websites. The tool is designed to be user-friendly and efficient, providing a one-stop solution for ad-blocking needs.
Summarize This
Summarize This is an AI-powered tool that provides instant summaries for text, PDFs, websites, and YouTube videos. It leverages the power of AI to transform content into concise summaries, making information gathering quick and effortless. Users can capture the essence of any text, extract main points from web pages, skip to important parts of videos, and save time by summarizing PDFs. The tool also offers the ability to summarize content on iPhones and Chrome browsers, providing a streamlined summarization experience across various platforms.
XLeads
XLeads is a powerful all-in-one wholesaling software designed to provide wholesalers with a competitive edge in the real estate market. It leverages advanced AI technology to analyze data, find motivated sellers and buyers, and streamline the wholesaling process. XLeads offers features such as AI-enhanced data sourcing, CRM tools, advanced disposition platform, and transformative AI for wholesaling success. The software aims to save users time and money by offering comprehensive tools and services for wholesaling real estate.
Neptune
Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.
InstaNovel
InstaNovel is an AI-powered tool that allows users to generate their own mini-novels with just a few clicks. With InstaNovel, you can skip the waiting time and generate more books with premium. You can also choose from a variety of art styles to create a unique and personalized novel. InstaNovel is perfect for anyone who wants to get inspiration, have fun, learn languages, or create funny birthday gifts for someone.
20 - Open Source AI Tools
shinkai-apps
Shinkai apps unlock the full capabilities/automation of first-class LLM (AI) support in the web browser. It enables creating multiple agents, each connected to either local or 3rd-party LLMs (ex. OpenAI GPT), which have permissioned (meaning secure) access to act in every webpage you visit. There is a companion repo called Shinkai Node, that allows you to set up the node anywhere as the central unit of the Shinkai Network, handling tasks such as agent management, job processing, and secure communications.
dravid
Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.
json_repair
This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition:
skyvern
Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern
start-machine-learning
Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.
start-llms
This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.
dstack
Dstack is an open-source orchestration engine for running AI workloads in any cloud. It supports a wide range of cloud providers (such as AWS, GCP, Azure, Lambda, TensorDock, Vast.ai, CUDO, RunPod, etc.) as well as on-premises infrastructure. With Dstack, you can easily set up and manage dev environments, tasks, services, and pools for your AI workloads.
ml-road-map
The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.
hal9
Hal9 is a tool that allows users to create and deploy generative applications such as chatbots and APIs quickly. It is open, intuitive, scalable, and powerful, enabling users to use various models and libraries without the need to learn complex app frameworks. With a focus on AI tasks like RAG, fine-tuning, alignment, and training, Hal9 simplifies the development process by skipping engineering tasks like frontend development, backend integration, deployment, and operations.
exllamav2
ExLlamaV2 is an inference library for running local LLMs on modern consumer GPUs. It is a faster, better, and more versatile codebase than its predecessor, ExLlamaV1, with support for a new quant format called EXL2. EXL2 is based on the same optimization method as GPTQ and supports 2, 3, 4, 5, 6, and 8-bit quantization. It allows for mixing quantization levels within a model to achieve any average bitrate between 2 and 8 bits per weight. ExLlamaV2 can be installed from source, from a release with prebuilt extension, or from PyPI. It supports integration with TabbyAPI, ExUI, text-generation-webui, and lollms-webui. Key features of ExLlamaV2 include: - Faster and better kernels - Cleaner and more versatile codebase - Support for EXL2 quantization format - Integration with various web UIs and APIs - Community support on Discord
documentation
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.
tensorrtllm_backend
The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.
runpod-worker-comfy
runpod-worker-comfy is a serverless API tool that allows users to run any ComfyUI workflow to generate an image. Users can provide input images as base64-encoded strings, and the generated image can be returned as a base64-encoded string or uploaded to AWS S3. The tool is built on Ubuntu + NVIDIA CUDA and provides features like built-in checkpoints and VAE models. Users can configure environment variables to upload images to AWS S3 and interact with the RunPod API to generate images. The tool also supports local testing and deployment to Docker hub using Github Actions.
PhoGPT
PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.
face-api
FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.
mflux
MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.
vigenair
ViGenAiR is a tool that harnesses the power of Generative AI models on Google Cloud Platform to automatically transform long-form Video Ads into shorter variants, targeting different audiences. It generates video, image, and text assets for Demand Gen and YouTube video campaigns. Users can steer the model towards generating desired videos, conduct A/B testing, and benefit from various creative features. The tool offers benefits like diverse inventory, compelling video ads, creative excellence, user control, and performance insights. ViGenAiR works by analyzing video content, splitting it into coherent segments, and generating variants following Google's best practices for effective ads.
LLMStack
LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.
renpy-translator
Renpy Translator is a free and open-source tool designed for translating Ren'py games. It supports various translation services such as Google, Youdao, Deepl, OpenAI, and more. The tool can automatically translate game content, extract untranslated words, replace fonts, and add language preferences. It aims to assist in game translation work by providing a user-friendly interface and supporting multiple languages. The translated contents may not be accurate due to auto-translation, so users are encouraged to review and modify translations as needed.
4 - OpenAI Gpts
Excuse Genius - Get Out Of Going To Work!
Generates believable, ethical excuses for not attending work.