Best AI tools for< Test New Models >

Narrow AI is an AI application that autonomously writes, monitors, and optimizes prompts for any model, enabling users to ship AI features 10x faster at a fraction of the cost. It streamlines the workflow by allowing users to test new models in minutes, compare prompt performance, and deploy on the optimal model for their use case. Narrow AI helps users maximize efficiency by generating expert-level prompts, adapting prompts to new models, and optimizing prompts for quality, cost, and speed.

Incribo is a company that provides synthetic data for training machine learning models. Synthetic data is artificially generated data that is designed to mimic real-world data. This data can be used to train machine learning models without the need for real-world data, which can be expensive and difficult to obtain. Incribo's synthetic data is high quality and affordable, making it a valuable resource for machine learning developers.

Byterat is a cloud-based platform that provides battery data management, visualization, and analytics. It offers an end-to-end data pipeline that automatically synchronizes, processes, and visualizes materials, manufacturing, and test data from all labs. Byterat also provides 24/7 access to experiments from anywhere in the world and integrates seamlessly with current workflows. It is customizable to specific cell chemistries and allows users to build custom visualizations, dashboards, and analyses. Byterat's AI-powered battery research has been published in leading journals, and its team has pioneered a new class of models that extract tell-tale signals of battery health from electrical signals to forecast future performance.

PaceAI is an AI assistant designed for IT professionals to generate, analyze, and simplify software documentation on IT projects. It uses advanced generative AI models to understand the user's vision, analyze requirements, and automatically generate clear, concise software documentation tailored to the specific project needs. With 35+ powerful AI tools, PaceAI assists in every phase of the project, from planning to deployment, helping users save time and improve productivity.

GptSdk is an AI tool that simplifies incorporating AI capabilities into PHP projects. It offers dynamic prompt management, model management, bulk testing, collaboration chaining integration, and more. The tool allows developers to develop professional AI applications 10x faster, integrates with Laravel and Symfony, and supports both local and API prompts. GptSdk is open-source under the MIT License and offers a flexible pricing model with a generous free tier.

QuarkIQL is a generative testing tool for computer vision APIs. It allows users to create custom test images and requests with just a few clicks. QuarkIQL also provides a log of your queries so you can run more experiments without starting from square one.

Fine-Tune AI is a tool that allows users to generate fine-tune data sets using prompts. This can be useful for a variety of tasks, such as improving the accuracy of machine learning models or creating new training data for AI applications.

Bifrost AI is a data generation engine designed for AI and robotics applications. It enables users to train and validate AI models faster by generating physically accurate synthetic datasets in 3D simulations, eliminating the need for real-world data. The platform offers pixel-perfect labels, scenario metadata, and a simulated 3D world to enhance AI understanding. Bifrost AI empowers users to create new scenarios and datasets rapidly, stress test AI perception, and improve model performance. It is built for teams at every stage of AI development, offering features like automated labeling, class imbalance correction, and performance enhancement.

Keplar is an AI-powered platform that provides unlimited customer access by delivering interactive models of target customers using influencer audiences and 1st-party data. It helps marketing teams iterate on creative assets, discover new markets, compare audiences, and save resources for bigger impact. Keplar offers a new way to unlock creative and audience insights faster, enabling teams to maintain velocity at scale.

Quest is a web-based application that allows users to generate React code from their designs. It incorporates AI models to generate real, useful code that incorporates all the things professional developers care about. Users can use Quest to build new applications, add to existing applications, and create design systems and libraries. Quest is made for development teams and integrates with the design and dev tools that users love. It is also built for the most demanding product teams and can be used to build new applications, build web pages, and create component templates.

Hi Talk is a GPT-powered AI for language learning. Speak with AI and chat on various topics, either by writing or speaking, while receiving messages with a realistic voice. Available 24/7 — available in 30 languages

FlashcardX is an AI-powered study tool that helps users create study materials and ace their tests. It uses AI to generate flashcards from text, articles, and textbooks, and provides users with a variety of study modes to help them learn and retain information. FlashcardX also has a community feature that allows users to share and collaborate on flashcards, and a progress tracking feature that helps users stay motivated and on track.

Cradle is a protein engineering platform that uses machine learning to design improved protein sequences. It allows users to import assay data, generate new sequences, test them in the lab, and import the results to improve the model. Cradle can be used to optimize multiple properties of a protein simultaneously, and it has been used by leading biotech teams to accelerate new and ongoing projects.

Zebrunner is an AI-powered unified platform for manual and automated testing, designed to synchronize manual and automation QA teams in one place. It offers features such as test management, automation reporting, and test case management, with capabilities for generating new test cases, autocomplete existing ones, and categorize failures using AI. Zebrunner provides a clean and intuitive UI, unmatched performance, powerful reporting, rich integrations, and 24/7 support for efficient testing processes. It also offers customizable dashboards, sharable reports, and seamless integrations with Jira and other SDLC tools for streamlined workflows.

Voicepanel is an AI-powered platform that helps businesses gather detailed feedback from their customers at unprecedented speed and scale. It uses AI to recruit target audiences, conduct interviews over voice or video, and synthesize actionable insights instantly. Voicepanel's platform is easy to use and can be set up in minutes. It offers a variety of features, including AI interviewing, AI recruiting, and AI synthesis. Voicepanel is a valuable tool for businesses that want to gain a deeper understanding of their customers and make better decisions.

PseudoEditor is an online pseudocode editor that offers a free, fast, and dynamic platform for writing and testing pseudocode. It includes features like syntax highlighting, code saving, and error highlighting to enhance the coding experience. With the ability to save code and resume work from any device, PseudoEditor aims to streamline the process of writing pseudocode and creating algorithms. The platform is supported by ads, ensuring that users can access the editor for free.

Trivai is an AI-powered trivia question generator that allows users to create trivia questions on any topic. With Trivai, you can generate random trivia questions or search for specific questions by category. Trivai is a great way to test your knowledge, learn new things, and have fun.

TutorOcean is an online tutoring platform that connects students with expert tutors from around the world. Students can search for tutors based on subject, language, price, and availability, and then book sessions directly with the tutor of their choice. TutorOcean offers a wide range of subjects, including math, science, languages, test prep, and more. Tutors on TutorOcean come from a variety of backgrounds and have different levels of experience and qualifications. Many tutors are certified teachers, while others have extensive experience in their subject area. Students can view vetted tutor profiles and ratings to help them choose the right tutor for their needs.

Interview with AI is an online platform that helps users prepare for job interviews using artificial intelligence (AI). The platform offers a range of features, including personalized roadmaps, interactive quizzes, and mock interviews with AI companions. Interview with AI is designed to help users improve their interview skills, learn new concepts, and increase their chances of getting their dream job.

BetweenQuiz.com is an AI-powered platform that offers a wide range of quizzes on various topics. Users can engage in interactive quizzes to test their knowledge and have fun. The website is designed to provide an entertaining and educational experience for individuals of all ages. With a user-friendly interface, BetweenQuiz.com aims to make learning enjoyable and engaging through the power of artificial intelligence.

ClearML Serving is a command line utility for model deployment and orchestration, enabling model deployment including serving and preprocessing code to a Kubernetes cluster or custom container based solution. It supports machine learning models like Scikit Learn, XGBoost, LightGBM, and deep learning models like TensorFlow, PyTorch, ONNX. It provides a customizable RestAPI for serving, online model deployment, scalable solutions, multi-model per container, automatic deployment, canary A/B deployment, model monitoring, usage metric reporting, metric dashboard, and model performance metrics. ClearML Serving is modular, scalable, flexible, customizable, and open source.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

LLPhant is a comprehensive PHP Generative AI Framework that provides a simple and powerful way to build apps. It supports Symfony and Laravel and offers a wide range of features, including text generation, chatbots, text summarization, and more. LLPhant is compatible with OpenAI and Ollama and can be used to perform a variety of tasks, including creating semantic search, chatbots, personalized content, and text summarization.

AI Hub Project aims to continuously test and evaluate mainstream large language models, while accumulating and managing various effective model invocation prompts. It has integrated all mainstream large language models in China, including OpenAI GPT-4 Turbo, Baidu ERNIE-Bot-4, Tencent ChatPro, MiniMax abab5.5-chat, and more. The project plans to continuously track, integrate, and evaluate new models. Users can access the models through REST services or Java code integration. The project also provides a testing suite for translation, coding, and benchmark testing.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

WildBench is a tool designed for benchmarking Large Language Models (LLMs) with challenging tasks sourced from real users in the wild. It provides a platform for evaluating the performance of various models on a range of tasks. Users can easily add new models to the benchmark by following the provided guidelines. The tool supports models from Hugging Face and other APIs, allowing for comprehensive evaluation and comparison. WildBench facilitates running inference and evaluation scripts, enabling users to contribute to the benchmark and collaborate on improving model performance.

Truss is the simplest way to serve AI/ML models in production. This repository provides dozens of example models, each ready to deploy as-is or adapt to your needs. To get started, clone the repository, install Truss, and pick a model to deploy by passing a path to that model. Truss will prompt you for an API Key, which can be obtained from the Baseten API keys page. Invocation depends on the model's input and output specifications. Refer to individual model READMEs for invocation details. Contributions of new models and improvements to existing models are welcome. See CONTRIBUTING.md for details.

Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.

Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models.

Eval-Scope is a framework for evaluating and improving large language models (LLMs). It provides a set of commonly used test datasets, metrics, and a unified model interface for generating and evaluating LLM responses. Eval-Scope also includes an automatic evaluator that can score objective questions and use expert models to evaluate complex tasks. Additionally, it offers a visual report generator, an arena mode for comparing multiple models, and a variety of other features to support LLM evaluation and development.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

QGate-Model is a machine learning meta-model with synthetic data, designed for MLOps and feature store. It is independent of machine learning solutions, with definitions in JSON and data in CSV/parquet formats. This meta-model is useful for comparing capabilities and functions of machine learning solutions, independently testing new versions of machine learning solutions, and conducting various types of tests (unit, sanity, smoke, system, regression, function, acceptance, performance, shadow, etc.). It can also be used for external test coverage when internal test coverage is not available or weak.

LLMeBench is a flexible framework designed for accelerating benchmarking of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). It supports evaluation of various NLP tasks using model providers like OpenAI, HuggingFace Inference API, and Petals. The framework is customizable for different NLP tasks, LLM models, and datasets across multiple languages. It features extensive caching capabilities, supports zero- and few-shot learning paradigms, and allows on-the-fly dataset download and caching. LLMeBench is open-source and continuously expanding to support new models accessible through APIs.

The Beta Machine Learning Toolkit is a package containing various algorithms and utilities for implementing machine learning workflows in multiple languages, including Julia, Python, and R. It offers a range of supervised and unsupervised models, data transformers, and assessment tools. The models are implemented entirely in Julia and are not wrappers for third-party models. Users can easily contribute new models or request implementations. The focus is on user-friendliness rather than computational efficiency, making it suitable for educational and research purposes.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

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.

Lumigator is an open-source platform developed by Mozilla.ai to help users select the most suitable language model for their specific needs. It supports the evaluation of summarization tasks using sequence-to-sequence models such as BART and BERT, as well as causal models like GPT and Mistral. The platform aims to make model selection transparent, efficient, and empowering by providing a framework for comparing LLMs using task-specific metrics to evaluate how well a model fits a project's needs. Lumigator is in the early stages of development and plans to expand support to additional machine learning tasks and use cases in the future.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Kiln is an intuitive tool for fine-tuning LLM models, generating synthetic data, and collaborating on datasets. It offers desktop apps for Windows, MacOS, and Linux, zero-code fine-tuning for various models, interactive data generation, and Git-based version control. Users can easily collaborate with QA, PM, and subject matter experts, generate auto-prompts, and work with a wide range of models and providers. The tool is open-source, privacy-first, and supports structured data tasks in JSON format. Kiln is free to use and helps build high-quality AI products with datasets, facilitates collaboration between technical and non-technical teams, allows comparison of models and techniques without code, ensures structured data integrity, and prioritizes user privacy.

Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. _For interpretability in NLP, check out our new package:imodelsX _

I craft tests first, then code, validating new features.

I'm a ransomware negotiation simulation and analysis bot trained with over 131 real-life negotiations. Type "start negotiation" to begin! New feature: Type "threat actor personality test"

Quiz with visual options and friend rankings

Assistant focused on teaching concepts, evaluating comprehension, and recommending subsequent topics. USE WITH VOICE.

AI-powered test prep platform offering adaptive, interactive learning and progress tracking.

Everything 'Starship Colony' - new PC colony sim game in development.

For "Generative AI Test". Examiner in Generative AI, posing questions and providing feedback.

A playful chatbot specializing in lyric-based blind tests.

Dynamic quiz game with a wide range of topics, +3 points for correct answers, -2 for incorrect. 5-minute limit.

Art quiz game with famous paintings, trivia, and scoring.

Quizzes users on advanced machine learning concepts.

Interactive language quiz

I host a word-scramble game with escalating levels.

Play a visual guessing game about popular movies.

Your friendly anime trivia expert. Let the fun begin!

Enjoy this Five-strike historical figure trivia game.

Quiz master for product managers

Asks for language choices if unspecified.

Discover how to make learning easy and fun! 📚 You can ask the question in any language 😁

A word-guessing game. The game will only answer with 'yes' or 'no'.