AI tools for outputs
Related Tools:

LanguageGUI
LanguageGUI is an open-source design system and UI Kit for giving LLMs the flexibility of formatting text outputs into richer graphical user interfaces. It includes dozens of unique UI elements that serve different use cases for rich conversational user interfaces, such as 100+ UI components & customizable screens, 10+ conversational UI widgets, 20+ chat bubbles, 30+ pre-built screens to kickoff your design, 5+ chat sidebars with customizable settings, multi-prompt workflow screen designs, 8+ prompt boxes, and dark mode. LanguageGUI is designed with variables and styles, designed with Figma Auto Layout, and is free to use for both personal and commercial projects without required attribution.

MindpoolAI
MindpoolAI is a tool that allows users to access multiple leading AI models with a single query. This means that users can get the answers they are looking for, spark ideas, and fuel their work, creativity, and curiosity. MindpoolAI is easy to use and does not require any technical expertise. Users simply need to enter their prompt and select the AI models they want to compare. MindpoolAI will then send the query to the selected models and present the results in an easy-to-understand format.

MetaGPT
MetaGPT is an advanced AI tool that leverages the power of natural language processing to generate human-like text. It uses the latest deep learning models to understand and produce text in various styles and tones. With MetaGPT, users can easily create content for articles, essays, emails, and more with just a few clicks. The tool is designed to assist writers, marketers, students, and anyone looking to enhance their writing productivity and creativity.

BuildAI.Space
BuildAI.Space is an AI application that allows users to create personalized AI-powered web apps without the need for technical skills. Users can pick and customize AI tools, upload their data, and design the app to match their brand. The platform offers a variety of AI tools for different use cases, such as nutrition, legal advice, lead generation, SEO optimization, and personalized planners. With features like Magic Builder for customization and AI Credits for advanced functionalities, BuildAI.Space empowers users to monetize their apps and engage with their audience effectively.

PromptBase
PromptBase is a marketplace for AI prompts, where users can buy and sell prompts for various AI models such as Midjourney, ChatGPT, DALL·E, and Stable Diffusion. Users can also create and sell their own AI apps using prompts. The platform provides a wide range of prompts, including those for art and illustrations, logos and icons, graphics and design, productivity and writing, marketing and business, photography, games and 3D, and more.

Stable Diffusion XL
Stable Diffusion XL (SDXL) is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. It is an improved version of the previous Stable Diffusion models, with better photorealistic outputs, more detailed imagery, and improved face generation. SDXL is available via DreamStudio and other image generation apps like NightCafe Studio and ClipDrop. It can be used for a variety of tasks, including image generation, image-to-image prompting, inpainting, and outpainting.

Humley
Humley is a Conversational AI platform that allows users to build and launch AI assistants in under an hour. The platform provides a no-code environment for creating self-serve experiences and managing AI outputs. Humley aims to revolutionize customer experiences and boost efficiencies by making Conversational AI accessible and safe for all users. With features like Knowledge Search, Build Flows, Integrate with Systems, Capture Feedback, and Multi-Channel Support, Humley Studio offers a comprehensive toolkit for creating engaging conversational experiences. The platform empowers businesses to deliver exceptional customer service, streamline access to AI models, and improve operational efficiencies.

Muse Pro
Muse Pro is a revolutionary drawing tool that combines the power of AI with the precision of your hand. With Muse Pro, you can unleash your creativity and elevate your artwork to new heights. Our groundbreaking AI technology provides real-time guidance, helping you refine your strokes and bring your ideas to life. Whether you're a seasoned artist or just starting out, Muse Pro has something to offer everyone. With its intuitive interface and powerful features, Muse Pro makes it easy to create beautiful and engaging artwork.

Stable Diffusion
Stable Diffusion is an AI art generation tool that allows users to create high-quality images from text descriptions. It offers a user-friendly platform for both beginners and experts to explore AI art creation without deep technical knowledge. The tool excels in producing complex, detailed, and customizable images, making it ideal for artists, designers, and anyone looking to integrate AI into their creative process. Stable Diffusion provides unprecedented creative freedom through features like image generation, inpainting, outpainting, and text-guided image-to-image translation.

Vectorizer.io
Vectorizer.io is an online tool that converts raster images (such as PNGs, BMPs, and JPEGs) into scalable vector graphics (SVGs, EPSs, and DXFs). Vectorization is the process of converting pixel-based images into mathematical equations that define lines, curves, and shapes. This makes vector images resolution-independent, meaning they can be scaled to any size without losing quality. Vectorizer.io uses advanced algorithms to accurately trace the outlines of objects in raster images, producing high-quality vector outputs that are suitable for a variety of purposes, such as logo design, web graphics, and print production.

Athina AI
Athina AI is a comprehensive platform designed to monitor, debug, analyze, and improve the performance of Large Language Models (LLMs) in production environments. It provides a suite of tools and features that enable users to detect and fix hallucinations, evaluate output quality, analyze usage patterns, and optimize prompt management. Athina AI supports integration with various LLMs and offers a range of evaluation metrics, including context relevancy, harmfulness, summarization accuracy, and custom evaluations. It also provides a self-hosted solution for complete privacy and control, a GraphQL API for programmatic access to logs and evaluations, and support for multiple users and teams. Athina AI's mission is to empower organizations to harness the full potential of LLMs by ensuring their reliability, accuracy, and alignment with business objectives.

PromptPoint Playground
PromptPoint Playground is an AI tool designed to help users design, test, and deploy prompts quickly and efficiently. It enables teams to create high-quality LLM outputs through automatic testing and evaluation. The platform allows users to make non-deterministic prompts predictable, organize prompt configurations, run automated tests, and monitor usage. With a focus on collaboration and accessibility, PromptPoint Playground empowers both technical and non-technical users to leverage the power of large language models for prompt engineering.

Insight
Insight is an AI-powered medical research tool that serves as a research assistant for generating scientific summaries, hypotheses, experimental designs, and target identification. It empowers scientists to navigate literature, formulate hypotheses, and design experiments by utilizing peer-reviewed databases to provide reliable outputs. With integrated features like NIH PubMed access, NIH Reporter insights, and MYGENE & MYVARIANT deep dives, Insight streamlines the research process and accelerates discoveries in the medical field.

Wordware
Wordware is an AI toolkit that empowers cross-functional teams to build reliable high-quality agents through rapid iteration. It combines the best aspects of software with the power of natural language, freeing users from traditional no-code tool constraints. With advanced technical capabilities, multiple LLM providers, one-click API deployment, and multimodal support, Wordware offers a seamless experience for AI app development and deployment.

GPTValue
Compare similar GPTs outputs quality on the same question, identify the most valuable one.

GeniePT Prompt Enhancer
Enhances prompts with unique personas and more depth for better outputs from ChatGPT

Customer.io Liquid Helper
Specializes in Customer.io Liquid code, always outputs code (not affiliated with customer.io)

Assistente Codificação TUSS Exames com OCR
Portuguese OCR for medical test coding, outputs in table format.

Prioritization Matrix Pro
Structured process for prioritizing marketing tasks based on strategic alignment. Outputs in Eisenhower, RACI and other methodologies.

GetPaths
This GPT takes in content related to an application, such as HTTP traffic, JavaScript files, source code, etc., and outputs lists of URLs that can be used for further testing.

PDF/DocX Creator
A GPT that can create PDFs and DocX documents, worksheets, resumes, etc. for you to directly download. See example outputs on https://www.gpt2office.com/

Angular Architect AI: Generate Angular Components
Generates Angular components based on requirements, with a focus on code-first responses.

instructor
Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

strictjson
Strict JSON is a framework designed to handle JSON outputs with complex structures, fixing issues that standard json.loads() cannot resolve. It provides functionalities for parsing LLM outputs into dictionaries, supporting various data types, type forcing, and error correction. The tool allows easy integration with OpenAI JSON Mode and offers community support through tutorials and discussions. Users can download the package via pip, set up API keys, and import functions for usage. The tool works by extracting JSON values using regex, matching output values to literals, and ensuring all JSON fields are output by LLM with optional type checking. It also supports LLM-based checks for type enforcement and error correction loops.

instructor_ex
Instructor is a tool designed to structure outputs from OpenAI and other OSS LLMs by coaxing them to return JSON that maps to a provided Ecto schema. It allows for defining validation logic to guide LLMs in making corrections, and supports automatic retries. Instructor is primarily used with the OpenAI API but can be extended to work with other platforms. The tool simplifies usage by creating an ecto schema, defining a validation function, and making calls to chat_completion with instructions for the LLM. It also offers features like max_retries to fix validation errors iteratively.

instructor
Instructor is a popular Python library for managing structured outputs from large language models (LLMs). It offers a user-friendly API for validation, retries, and streaming responses. With support for various LLM providers and multiple languages, Instructor simplifies working with LLM outputs. The library includes features like response models, retry management, validation, streaming support, and flexible backends. It also provides hooks for logging and monitoring LLM interactions, and supports integration with Anthropic, Cohere, Gemini, Litellm, and Google AI models. Instructor facilitates tasks such as extracting user data from natural language, creating fine-tuned models, managing uploaded files, and monitoring usage of OpenAI models.

autoarena
AutoArena is a tool designed to create leaderboards ranking Language Model outputs against one another using automated judge evaluation. It allows users to rank outputs from different LLMs, RAG setups, and prompts to find the best configuration of their system. Users can perform automated head-to-head evaluation using judges from various platforms like OpenAI, Anthropic, and Cohere. Additionally, users can define and run custom judges, connect to internal services, or implement bespoke logic. AutoArena enables users to run the application locally, providing full control over their environment and data.

deepeval
DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

guardrails
Guardrails is a Python framework that helps build reliable AI applications by performing two key functions: 1. Guardrails runs Input/Output Guards in your application that detect, quantify and mitigate the presence of specific types of risks. To look at the full suite of risks, check out Guardrails Hub. 2. Guardrails help you generate structured data from LLMs.

tonic_validate
Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

instructor-php
Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

llm_steer
LLM Steer is a Python module designed to steer Large Language Models (LLMs) towards specific topics or subjects by adding steer vectors to different layers of the model. It enhances the model's capabilities, such as providing correct responses to logical puzzles. The tool should be used in conjunction with the transformers library. Users can add steering vectors to specific layers of the model with coefficients and text, retrieve applied steering vectors, and reset all steering vectors to the initial model. Advanced usage involves changing default parameters, but it may lead to the model outputting gibberish in most cases. The tool is meant for experimentation and can be used to enhance role-play characteristics in LLMs.

pytest-evals
pytest-evals is a minimalistic pytest plugin designed to help evaluate the performance of Language Model (LLM) outputs against test cases. It allows users to test and evaluate LLM prompts against multiple cases, track metrics, and integrate easily with pytest, Jupyter notebooks, and CI/CD pipelines. Users can scale up by running tests in parallel with pytest-xdist and asynchronously with pytest-asyncio. The tool focuses on simplifying evaluation processes without the need for complex frameworks, keeping tests and evaluations together, and emphasizing logic over infrastructure.

structured-logprobs
This Python library enhances OpenAI chat completion responses by providing detailed information about token log probabilities. It works with OpenAI Structured Outputs to ensure model-generated responses adhere to a JSON Schema. Developers can analyze and incorporate token-level log probabilities to understand the reliability of structured data extracted from OpenAI models.

Awesome-LLM-Constrained-Decoding
Awesome-LLM-Constrained-Decoding is a curated list of papers, code, and resources related to constrained decoding of Large Language Models (LLMs). The repository aims to facilitate reliable, controllable, and efficient generation with LLMs by providing a comprehensive collection of materials in this domain.

Synthalingua
Synthalingua is an advanced, self-hosted tool that leverages artificial intelligence to translate audio from various languages into English in near real time. It offers multilingual outputs and utilizes GPU and CPU resources for optimized performance. Although currently in beta, it is actively developed with regular updates to enhance capabilities. The tool is not intended for professional use but for fun, language learning, and enjoying content at a reasonable pace. Users must ensure speakers speak clearly for accurate translations. It is not a replacement for human translators and users assume their own risk and liability when using the tool.

awesome-gpt-prompt-engineering
Awesome GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.

SmallLanguageModel-project
This repository provides all the necessary items to build a Language Model from scratch, inspired by Karpathy's nanoGPT and Shakespeare generator. It includes data collection tools, data processing scripts, various models like BERT, GPT, and Seq-2-Seq, along with tokenizer and training files.

BIG-Bench-Mistake
BIG-Bench Mistake is a dataset of chain-of-thought (CoT) outputs annotated with the location of the first logical mistake. It was released as part of a research paper focusing on benchmarking LLMs in terms of their mistake-finding ability. The dataset includes CoT traces for tasks like Word Sorting, Tracking Shuffled Objects, Logical Deduction, Multistep Arithmetic, and Dyck Languages. Human annotators were recruited to identify mistake steps in these tasks, with automated annotation for Dyck Languages. Each JSONL file contains input questions, steps in the chain of thoughts, model's answer, correct answer, and the index of the first logical mistake.

llm-self-correction-papers
This repository contains a curated list of papers focusing on the self-correction of large language models (LLMs) during inference. It covers various frameworks for self-correction, including intrinsic self-correction, self-correction with external tools, self-correction with information retrieval, and self-correction with training designed specifically for self-correction. The list includes survey papers, negative results, and frameworks utilizing reinforcement learning and OpenAI o1-like approaches. Contributions are welcome through pull requests following a specific format.

marimo
Marimo is a reactive Python notebook that ensures code and outputs consistency by automatically running dependent cells or marking them as stale. It replaces various tools like Jupyter, streamlit, and more, offering an interactive environment with features like binding UI elements to Python, reproducibility, executability as scripts or apps, shareability, and designed for data tasks. It is git-friendly, offers a modern editor with AI assistants, and comes with built-in package management. Marimo provides deterministic execution order, dynamic markdown and SQL capabilities, and a performant runtime. It is easy to get started with and suitable for both beginners and power users.