AI tools for Penpal
Related Tools:
Lettergram
Lettergram is a platform that allows users to send and receive engaging personalized letters to their physical address. Users can have a pen pal experience by receiving a letter and sending a written response in the return envelope. The platform aims to bring back the charm of traditional letter writing in a modern and convenient way.
AI Humanize
AI Humanize is an advanced yet easy-to-use tool for writers and content creators. It helps users transform AI-generated text into natural, human-like content that bypasses AI detectors and enhances SEO rankings. The tool offers a range of features, including AI detection, humanization, SEO optimization, and error-free writing. AI Humanize is suitable for various users, including content creators, business professionals, marketing agencies, SEO specialists, academic professionals, web developers, and designers.
Dili
Dili is a prevailing wage and apprenticeship compliance solution that simplifies regulatory requirements for projects. It ensures compliance with PWA regulations, Davis Bacon, and state-specific labor requirements. Trusted by major industries like energy, construction, and infrastructure, Dili offers real-time wage validation, automated tracking, and instant compliance reports to help businesses avoid penalties and maximize federal funding value.
Taxly
Taxly is a user-friendly online platform designed to automate the process of UAE corporate tax filing for small and medium enterprises (SMEs), free zone entities, and accountants. The application simplifies tax compliance by allowing users to upload their financial data and receive FTA-ready tax returns. Taxly provides real-time tax insights, instant tax projections, and built-in compliance assistance to help users navigate the complexities of UAE tax regulations. With a focus on simplicity and efficiency, Taxly aims to streamline the tax filing process for businesses in the UAE.
INK
INK is an AI-powered content marketing suite that helps businesses create, optimize, and protect their content. With INK, businesses can create high-quality content faster and easier, improve their SEO rankings, and protect their content from plagiarism and AI penalties. INK offers a variety of features, including an AI writer, SEO optimizer, AI content shield, AI keyword research, AI assistant, and AI image generator.
BypassGPT
BypassGPT is an AI-powered tool that helps users bypass AI detection systems. It can rewrite AI-generated text to make it appear more human-like and less likely to be flagged by AI detectors. BypassGPT is free to use and can be accessed through a web interface or API. It supports over 50 languages and offers a variety of features, including plagiarism detection, grammar checking, and SEO optimization.
Handcraftd Studio
Handcraftd Studio is an AI-forward design studio specializing in visual design and no-code websites. They offer a subscription-based creative service to help businesses grow. Their blend of artistic creativity and technical precision creates visually stunning and highly functional digital experiences.
ReadyRedact
ReadyRedact is a cloud-based, AI-powered document redaction software that helps businesses and organizations permanently remove confidential data from documents. It uses advanced pixel-to-pixel replacement technology to ensure that sensitive information is completely removed, adding a higher level of security to files and peace of mind to regulatory compliance processes. ReadyRedact automates and streamlines the redaction process, eliminating the risk of identity theft, fraud, and litigation due to data leaks or outright theft.
123Fuxx.com
123Fuxx.com is an AI-powered search engine optimization (SEO) assistant designed to help website owners improve their online presence and visibility. The tool offers solutions for various needs such as recovering from penalties or updates, optimizing e-commerce SEO, and enhancing work processes for freelancers and agencies. With a focus on simplicity and effectiveness, 123Fuxx.com aims to empower users to serve more customers and achieve success in the digital landscape.
HideMyAI
HideMyAI is an AI tool designed to make AI-generated content undetectable and humanlike. It offers a free tool to bypass AI detectors and transform AI content into humanlike copy. Users can process more words per day with the free plan, and upgrade to pro plans for higher limits and powerful features. The tool rewords content to sound human, beats leading AI detectors, and ensures SEO-friendly quality content with no penalties. It works by pasting in content or uploading a document, semantically understanding the content, removing AI watermarks, restructuring the content, and automatically checking it against detectors. HideMyAI guarantees undetectable AI content or refunds credits.
Humanize AI Text
Humanize AI Text is a free online AI humanizer tool that converts AI-generated content from ChatGPT, Google Bard, Jasper, QuillBot, Grammarly, or any other AI to human text without altering the content's meaning. The platform uses advanced algorithms to analyze and produce output that mimics human writing style. It offers various modes for conversion and supports multiple languages. The tool aims to help content creators, bloggers, and writers enhance their content quality and improve search engine ranking by converting AI-generated text into human-readable form.
PromptScaper Workspace
PromptScaper Workspace is an AI tool designed to assist users in generating text using OpenAI's powerful language models. The tool provides a user-friendly interface for interacting with OpenAI's API to generate text based on specified parameters. Users can input prompts and customize various settings to fine-tune the generated text output. PromptScaper Workspace streamlines the process of leveraging advanced AI language models for text generation tasks, making it easier for users to create content efficiently.
RankWizard
RankWizard is an AI-powered content creation tool that enables users to generate high-quality articles, blog posts, and newsletters in minutes. It utilizes real-time data, SERP analysis, and GPT-4 technology to produce SEO-optimized content that ranks well on search engines. With support for over 100 languages and automated image generation, RankWizard offers an efficient and affordable solution for businesses and individuals looking to scale their content creation efforts.
AIContentfy
AIContentfy is an all-in-one SEO content platform that helps businesses create high-quality, search engine optimized content quickly and easily. With AIContentfy, you can generate long-form articles, blog posts, and other types of content in minutes, using the latest AI technology. AIContentfy also includes a range of features to help you optimize your content for search engines, including keyword research, content optimization, and analytics. With AIContentfy, you can save time and money on content creation, while also improving the quality and reach of your content.
Originality AI
Originality AI is a comprehensive editorial toolset designed for website owners, content marketers, writers, and publishers to ensure integrity in publishing. The tool offers AI plagiarism checking, fact checking, readability checking, grammar checking, and content optimization. It helps users detect AI-generated content, paraphrased content, and plagiarism accurately. Originality AI is built to help users hit publish with integrity in the world of generative AI.
LongShot AI
LongShot AI is an advanced AI co-pilot tool designed to plan, generate, and optimize content products. It offers a comprehensive set of features including Content Planner, AI Workflows, SEO Checker, AI Interlinking, and FactGPT for creating engaging and fact-checked content. LongShot AI seamlessly blends creativity and optimization to help content creators produce exceptional content that resonates with their audience. With a focus on factual content, SEO optimization, and internal linking, LongShot AI revolutionizes content strategy by leveraging AI technology for unbeatable results.
Emplibot
Emplibot is an AI-powered tool designed for automated blogging on WordPress. It helps users to publish articles on their blog and share them on social media in a fully automated manner. The tool offers features such as automated keyword research, AI-generated images, in-content infographics, internal and external linking, and auto-publishing on social media platforms. Emplibot aims to simplify content creation and distribution for businesses, ultimately boosting their SEO performance and online visibility.
LinkActions
LinkActions is a fully-automated internal linking tool that helps you build internal links on your website to improve your SEO, increase organic traffic, and boost sales. It analyzes your website's content and automatically creates and inserts internal links onto your website. LinkActions works with any CMS and is optimized for websites with hundreds to thousands of pages and long-form content over 500 words per page.
AllParking
AllParking is a UK-based company that provides a service to help drivers appeal parking tickets and fines. The company's AI-powered system generates personalized appeal letters that are tailored to each individual case. AllParking has a 60% appeal success rate and has helped over 7,000 drivers appeal their parking tickets. The company's services are available nationwide and cost £3.99 per appeal.
Drafts AI
Drafts AI is an AI-powered application that enables users to generate hundreds of SEO-optimized articles in seconds. It allows users to upload a list of target keywords and receive high-quality articles effortlessly. The application supports over 100 languages and offers features like bulk article generation, instant blog publishing, content customization, and seamless integration with leading blog providers. Drafts AI caters to creators, startups, and businesses looking to enhance their online presence through engaging and SEO-friendly content.
Cyberadvogado
Especialista em leis brasileiras. Tenho conhecimentos detalhados da constituição federal, código penal, código de defesa do consumidor, código de trânsito e lei do inquilinato. Esta ferramenta não substitui aconselhamento jurídico profissional.
" Avocat personnel "
Switzerland, Accompagnement juridique, Citation de documents de droit civil et pénal --- Rechtliche Unterstützung, Zitierung zivil- und strafrechtlicher Dokumente ---
Golf Rules Interactive ⛳
Ask me anything about the rules of golf, even while playing! Use voice or text to get instant replies in your local language.
R&A and USGA Rules of Golf Assistant - Golf Rules
Any questions on the golf course? Take a photo of the situation and consult on-site the complete golf rules manual, according to the R&A and USGA.
Reglas del Golf en España
¿Alguna duda en el campo? ¡Haz una foto de la situación mientras estés jugando! Utilliza tu voz y consigue respuesta sobre las reglas completas del golf, según la R&A y USGA. Reglas de Enero 2023 con aclaraciones y reglas locales de varias federaciones españolas.
Golf GPT – Your Instant Guide to Golf Rules
Your Expert on the Official 2023 Golf Rules: Simply describe or upload an image of your play scenario, and receive precise, reliable guidance on the applicable rules. Perfect for players and enthusiasts seeking accurate and instant rule clarifications
Fr. Ripperger's Catholic Talks
A database of all the talks Fr. Ripperger has provided over the years
Gesetzbuch Deutschland
Hilft Nutzern, deutsche Gesetze zu nutzen und zu verstehen, nutzt gesetze-im-internet.de.
The Golf Rules Explainer (Cite USGA Rules)
I'm a bot that provides clear, simple answers about golf rules.
Tutel
Tutel MoE is an optimized Mixture-of-Experts implementation that offers a parallel solution with 'No-penalty Parallism/Sparsity/Capacity/Switching' for modern training and inference. It supports Pytorch framework (version >= 1.10) and various GPUs including CUDA and ROCm. The tool enables Full Precision Inference of MoE-based Deepseek R1 671B on AMD MI300. Tutel provides features like all-to-all benchmarking, tensorcore option, NCCL timeout settings, Megablocks solution, and dynamic switchable configurations. Users can run Tutel in distributed mode across multiple GPUs and machines. The tool allows for custom MoE implementations and offers detailed usage examples and reference documentation.
ai-robotics
AI Robotics tutorials for hobbyists focusing on training a virtual humanoid/robot to perform football tricks using Reinforcement Learning. The tutorials cover tuning training hyperparameters, optimizing reward functions, and achieving results in a short training time without the need for GPUs.
falkon
Falkon is a Python implementation of the Falkon algorithm for large-scale, approximate kernel ridge regression. The code is optimized for scalability to large datasets with tens of millions of points and beyond. Full kernel matrices are never computed explicitly so that you will not run out of memory on larger problems. Preconditioned conjugate gradient optimization ensures that only few iterations are necessary to obtain good results. The basic algorithm is a Nyström approximation to kernel ridge regression, which needs only three hyperparameters: 1. The number of centers M - this controls the quality of the approximation: a higher number of centers will produce more accurate results at the expense of more computation time, and higher memory requirements. 2. The penalty term, which controls the amount of regularization. 3. The kernel function. A good default is always the Gaussian (RBF) kernel (`falkon.kernels.GaussianKernel`).
awesome-RLAIF
Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.
simple_GRPO
simple_GRPO is a very simple implementation of the GRPO algorithm for reproducing r1-like LLM thinking. It provides a codebase that supports saving GPU memory, understanding RL processes, trying various improvements like multi-answer generation, regrouping, penalty on KL, and parameter tuning. The project focuses on simplicity, performance, and core loss calculation based on Hugging Face's trl. It offers a straightforward setup with minimal dependencies and efficient training on multiple GPUs.
LotteryMaster
LotteryMaster is a tool designed to fetch lottery data, save it to Excel files, and provide analysis reports including number prediction, number recommendation, and number trends. It supports multiple platforms for access such as Web and mobile App. The tool integrates AI models like Qwen API and DeepSeek for generating analysis reports and trend analysis charts. Users can configure API parameters for controlling randomness, diversity, presence penalty, and maximum tokens. The tool also includes a frontend project based on uniapp + Vue3 + TypeScript for multi-platform applications. It provides a backend service running on Fastify with Node.js, Cheerio.js for web scraping, Pino for logging, xlsx for Excel file handling, and Jest for testing. The project is still in development and some features may not be fully implemented. The analysis reports are for reference only and do not constitute investment advice. Users are advised to use the tool responsibly and avoid addiction to gambling.
structured-prompt-builder
A lightweight, browser-first tool for designing well-structured AI prompts with a clean UI, live previews, a local Prompt Library, and optional Gemini-powered prompt optimization. It supports structured fields like Role, Task, Audience, Style, Tone, Constraints, Steps, Inputs, and Few-shot examples. Users can copy/download prompts in Markdown, JSON, and YAML formats, and utilize model parameters like Temperature, Top-p, Max tokens, Presence & Frequency penalties. The tool also features a Local Prompt Library for saving, loading, duplicating, and deleting prompts, as well as a Gemini Optimizer for cleaning grammar/clarity without altering the schema. It offers dark/light friendly styles and a focused reading mode for long prompts.
Awesome-AgenticLLM-RL-Papers
This repository serves as the official source for the survey paper 'The Landscape of Agentic Reinforcement Learning for LLMs: A Survey'. It provides an extensive overview of various algorithms, methods, and frameworks related to Agentic RL, including detailed information on different families of algorithms, their key mechanisms, objectives, and links to relevant papers and resources. The repository covers a wide range of tasks such as Search & Research Agent, Code Agent, Mathematical Agent, GUI Agent, RL in Vision Agents, RL in Embodied Agents, and RL in Multi-Agent Systems. Additionally, it includes information on environments, frameworks, and methods suitable for different tasks related to Agentic RL and LLMs.
mistral.rs
Mistral.rs is a fast LLM inference platform written in Rust. We support inference on a variety of devices, quantization, and easy-to-use application with an Open-AI API compatible HTTP server and Python bindings.
langchainrb
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.
dbrx
DBRX is a large language model trained by Databricks and made available under an open license. It is a Mixture-of-Experts (MoE) model with 132B total parameters and 36B live parameters, using 16 experts, of which 4 are active during training or inference. DBRX was pre-trained for 12T tokens of text and has a context length of 32K tokens. The model is available in two versions: a base model and an Instruct model, which is finetuned for instruction following. DBRX can be used for a variety of tasks, including text generation, question answering, summarization, and translation.
llama-api-server
This project aims to create a RESTful API server compatible with the OpenAI API using open-source backends like llama/llama2. With this project, various GPT tools/frameworks can be compatible with your own model. Key features include: - **Compatibility with OpenAI API**: The API server follows the OpenAI API structure, allowing seamless integration with existing tools and frameworks. - **Support for Multiple Backends**: The server supports both llama.cpp and pyllama backends, providing flexibility in model selection. - **Customization Options**: Users can configure model parameters such as temperature, top_p, and top_k to fine-tune the model's behavior. - **Batch Processing**: The API supports batch processing for embeddings, enabling efficient handling of multiple inputs. - **Token Authentication**: The server utilizes token authentication to secure access to the API. This tool is particularly useful for developers and researchers who want to integrate large language models into their applications or explore custom models without relying on proprietary APIs.
imodelsX
imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning
FreeChat
FreeChat is a native LLM appliance for macOS that runs completely locally. Download it and ask your LLM a question without doing any configuration. A local/llama version of OpenAI's chat without login or tracking. You should be able to install from the Mac App Store and use it immediately.
openai-grammar-correction
This project is a Node.js API example that utilizes the OpenAI API for grammar correction and speech-to-text conversion. It helps users correct their English sentences to standard English by leveraging the capabilities of the OpenAI API. The project consists of two applications: Angular and Node.js. Users can follow the installation steps to set up the project in their environment and utilize the OpenAI implementation to correct English sentences. The project also provides guidelines for contribution and support.
hass-ollama-conversation
The Ollama Conversation integration adds a conversation agent powered by Ollama in Home Assistant. This agent can be used in automations to query information provided by Home Assistant about your house, including areas, devices, and their states. Users can install the integration via HACS and configure settings such as API timeout, model selection, context size, maximum tokens, and other parameters to fine-tune the responses generated by the AI language model. Contributions to the project are welcome, and discussions can be held on the Home Assistant Community platform.
kor
Kor is a prototype tool designed to help users extract structured data from text using Language Models (LLMs). It generates prompts, sends them to specified LLMs, and parses the output. The tool works with the parsing approach and is integrated with the LangChain framework. Kor is compatible with pydantic v2 and v1, and schema is typed checked using pydantic. It is primarily used for extracting information from text based on provided reference examples and schema documentation. Kor is designed to work with all good-enough LLMs regardless of their support for function/tool calling or JSON modes.
candle-vllm
Candle-vllm is an efficient and easy-to-use platform designed for inference and serving local LLMs, featuring an OpenAI compatible API server. It offers a highly extensible trait-based system for rapid implementation of new module pipelines, streaming support in generation, efficient management of key-value cache with PagedAttention, and continuous batching. The tool supports chat serving for various models and provides a seamless experience for users to interact with LLMs through different interfaces.
mjai.app
mjai.app is a platform for mahjong AI competition. It contains an implementation of a mahjong game simulator for evaluating submission files. The simulator runs Docker internally, and there is a base class for developing bots that communicate via the mjai protocol. Submission files are deployed in a Docker container, and the Docker image is pushed to Docker Hub. The Mjai protocol used is customized based on Mortal's Mjai Engine implementation.