Best AI tools for< Provide Evaluation Metrics >

usefulAI is a platform that allows users to easily add AI features to their products in minutes. Users can find AI features that best meet their needs, test them using the platform's playground, and integrate them into their products through a single API. The platform offers a user-friendly playground to test and compare AI solutions, provides pricing and metrics for evaluation, and allows integration within applications using a single API. usefulAI aims to provide practical AI engines in one place, without hype, for users to leverage in their products.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

DisplayGateGuard is a brand safety and suitability provider that leverages AI-powered analysis to help advertisers choose the right placements, isolate fraudulent websites, and enhance brand safety and suitability. The platform offers curated inclusion and exclusion lists to provide deeper insights into the environments and contexts where ads are shown, ensuring campaigns reach the right audience effectively. By utilizing artificial intelligence, DisplayGateGuard assesses websites through diverse metrics to curate placements that align seamlessly with advertisers' specific requirements and values.

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.

Reka is a cutting-edge AI application offering next-generation multimodal AI models that empower agents to see, hear, and speak. Their flagship model, Reka Core, competes with industry leaders like OpenAI and Google, showcasing top performance across various evaluation metrics. Reka's models are natively multimodal, capable of tasks such as generating textual descriptions from videos, translating speech, answering complex questions, writing code, and more. With advanced reasoning capabilities, Reka enables users to solve a wide range of complex problems. The application provides end-to-end support for 32 languages, image and video comprehension, multilingual understanding, tool use, function calling, and coding, as well as speech input and output.

UpTrain is a full-stack LLMOps platform designed to help users with all their production needs, from evaluation to experimentation to improvement. It offers diverse evaluations, automated regression testing, enriched datasets, and precision metrics to enhance the development of LLM applications. UpTrain is built for developers, by developers, and is compliant with data governance needs. It provides cost efficiency, reliability, and open-source core evaluation framework. The platform is suitable for developers, product managers, and business leaders looking to enhance their LLM applications.

Notle is an advanced AI-driven psychometric recording tool designed for mental health professionals. It revolutionizes how patient interactions in psychotherapy sessions are captured and analyzed. The platform provides cutting-edge analysis, effortless tracking, in-depth metrics, and empowers clinicians with intelligent analytics for personalized care. Notle sets a new benchmark for psychometric evaluation tools, ensuring unrivaled precision in psychometric assessment. It offers advanced behavioral insights, user-friendly interface, unmatched precision & reliability, and non-invasive integration into healthcare practices. The application is reliable, accurate, impactful, and validated through research methods.

GreetAI is an AI-powered platform that revolutionizes the hiring process by conducting AI video interviews to evaluate applicants efficiently. The platform provides insightful reports, customizable interview questions, and highlights key points to help recruiters make informed decisions. GreetAI offers features such as interview simulations, job post generation, AI video screenings, and detailed candidate performance metrics.

FinetuneDB is an AI fine-tuning platform that allows users to easily create and manage datasets to fine-tune LLMs, evaluate outputs, and iterate on production data. It integrates with open-source and proprietary foundation models, and provides a collaborative editor for building datasets. FinetuneDB also offers a variety of features for evaluating model performance, including human and AI feedback, automated evaluations, and model metrics tracking.

VMock Dashboard is an AI-powered platform designed to provide personalized feedback on resumes. It leverages machine learning algorithms to analyze resumes and offers detailed insights on areas of improvement. Users can upload their resumes, receive instant feedback on content, formatting, and overall effectiveness, and track their progress over time. VMock Dashboard aims to help individuals enhance their resumes and increase their chances of landing their desired job opportunities.

Resumecheck.net is an AI-powered resume improvement platform that helps users create error-free, professional resumes that stand out to recruiters. The platform uses GPT4 technology to provide personalized feedback and suggestions, including grammar corrections, formatting adjustments, and industry-specific keyword optimization. Additionally, Resumecheck.net offers an AI Cover Letter Writer that generates tailored cover letters based on the user's resume and the specific job position they are applying for.

RebeccAi is an AI-powered business idea evaluation and validation tool that uses AI technology to provide accurate insights into the potential of users' ideas. It helps users refine and improve their ideas quickly and intelligently, serving as a one-person team for business dreamers. The platform assists in turning ideas into reality, from business concepts to creative projects, by leveraging the latest AI tools and technologies to innovate faster and smarter.

Checkmyidea-IA is an AI-powered tool that helps entrepreneurs and businesses evaluate their business ideas before launching them. It uses a variety of factors, such as customer interest, uniqueness, initial product development, and launch strategy, to provide users with a comprehensive review of their idea's potential for success. Checkmyidea-IA can help users save time, increase their chances of success, reduce risk, and improve their decision-making.

TOPY AI LTD is an AI tool designed to provide affordable and advanced AI agents to automate core services for startups. The tool focuses on services such as project evaluation, market research, financial mentoring, and more. It aims to empower startups to succeed through autonomous AI agents that streamline project and team management, co-founder matchmaking, talent sourcing, business reviews, market research insights, and financial mentoring. TOPY AI LTD's mission is to be the leading AI service provider for startups, enhancing their innovation and competitiveness globally.

Adminer is a comprehensive platform designed to assist e-commerce entrepreneurs in identifying, analyzing, and validating profitable products. It leverages artificial intelligence to provide users with data-driven insights, enabling them to make informed decisions and optimize their product offerings. Adminer's suite of features includes product research, market analysis, supplier evaluation, and automated copywriting, empowering users to streamline their operations and maximize their sales potential.

Skyline AI is an AI tool that specializes in the analysis of commercial real estate properties. It offers a platform for faster and more comprehensive evaluation of real estate investments. The tool leverages artificial intelligence to provide state-of-the-art updates on real estate and technology, enabling users to make informed decisions in the real estate sector.

DryRun Security is an AI-powered security tool designed to provide developers with security context and analysis for code changes in real-time. It offers a suite of analyzers to identify risky code changes, such as SQL injection, command injection, and sensitive file modifications. The tool integrates seamlessly with GitHub repositories, ensuring developers receive security feedback before merging code changes. DryRun Security aims to empower developers to write secure code efficiently and effectively.

Eve is an AI-powered tool designed for labor and employment lawyers to streamline their casework, increase efficiency, and boost revenue. It acts as a 'second brain' and an extra set of hands, tailored to the lifecycle of cases. Eve assists in case intake and evaluation, drafting documents and letters, propounding discovery, responding to discovery, and more. The tool is trusted by thousands of forward-thinking plaintiff lawyers and offers features like powerful analytics, shared team inboxes, instant customer service, and easy-to-use reports.

The website is an AI tool designed to assist entrepreneurs in building and growing their startups. It offers various tools powered by AI technology to evaluate business ideas, enhance branding, identify ideal customers, improve marketing strategies, and provide personalized investment plans. Users can benefit from the platform's features to make informed decisions and achieve success in their entrepreneurial endeavors.

RubricPro is an AI grading tool that simplifies the grading process for essays, CVs, business plans, and more by using AI algorithms based on user-defined rubrics. It allows teachers to grade in bulk, provides students with feedback before submission, and assists professionals in evaluating various documents. RubricPro is loved by users worldwide for its accuracy, privacy commitment, ease of use, and customer-centric approach.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

LLMPerf is a tool designed for evaluating the performance of Language Model APIs. It provides functionalities for conducting load tests to measure inter-token latency and generation throughput, as well as correctness tests to verify the responses. The tool supports various LLM APIs including OpenAI, Anthropic, TogetherAI, Hugging Face, LiteLLM, Vertex AI, and SageMaker. Users can set different parameters for the tests and analyze the results to assess the performance of the LLM APIs. LLMPerf aims to standardize prompts across different APIs and provide consistent evaluation metrics for comparison.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

EasyEdit is a Python package for edit Large Language Models (LLM) like `GPT-J`, `Llama`, `GPT-NEO`, `GPT2`, `T5`(support models from **1B** to **65B**), the objective of which is to alter the behavior of LLMs efficiently within a specific domain without negatively impacting performance across other inputs. It is designed to be easy to use and easy to extend.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

Nejumi Leaderboard 3 is a comprehensive evaluation platform for large language models, assessing general language capabilities and alignment aspects. The evaluation framework includes metrics for language processing, translation, summarization, information extraction, reasoning, mathematical reasoning, entity extraction, knowledge/question answering, English, semantic analysis, syntactic analysis, alignment, ethics/moral, toxicity, bias, truthfulness, and robustness. The repository provides an implementation guide for environment setup, dataset preparation, configuration, model configurations, and chat template creation. Users can run evaluation processes using specified configuration files and log results to the Weights & Biases project.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

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.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

WebLINX is a Python library and dataset for real-world website navigation with multi-turn dialogue. The repository provides code for training models reported in the WebLINX paper, along with a comprehensive API to work with the dataset. It includes modules for data processing, model evaluation, and utility functions. The modeling directory contains code for processing, training, and evaluating models such as DMR, LLaMA, MindAct, Pix2Act, and Flan-T5. Users can install specific dependencies for HTML processing, video processing, model evaluation, and library development. The evaluation module provides metrics and functions for evaluating models, with ongoing work to improve documentation and functionality.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure. Fine-Tuning retrains an existing pre-trained LLM using example data, resulting in a new 'custom' fine-tuned LLM optimized for task-specific examples. Use cases include improving LLM performance on specific tasks and introducing information not well represented by the base LLM model. Suitable for cases where latency is critical, high accuracy is required, and clear evaluation metrics are available. Learning path includes labs for fine-tuning GPT and Llama2 models via Dashboards and Python SDK.

The GraphRAG project is a data pipeline and transformation suite designed to extract meaningful, structured data from unstructured text using LLMs. It enhances LLMs' ability to reason about private data. The repository provides guidance on using knowledge graph memory structures to enhance LLM outputs, with a warning about the potential costs of GraphRAG indexing. It offers contribution guidelines, development resources, and encourages prompt tuning for optimal results. The Responsible AI FAQ addresses GraphRAG's capabilities, intended uses, evaluation metrics, limitations, and operational factors for effective and responsible use.

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

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

MMStar is an elite vision-indispensable multi-modal benchmark comprising 1,500 challenge samples meticulously selected by humans. It addresses two key issues in current LLM evaluation: the unnecessary use of visual content in many samples and the existence of unintentional data leakage in LLM and LVLM training. MMStar evaluates 6 core capabilities across 18 detailed axes, ensuring a balanced distribution of samples across all dimensions.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Simply write any topic (anything superheroes, vacuums, Pokémon’, diamonds…) and I’ll provide the evaluation criteria you can use.

Expert in Agile SDLC, helping the teams to get familiar with best practices and provide audit and evaluation services

The main objective of a personalized ChatGPT for reading laboratory tests is to evaluate laboratory test results and create a spreadsheet with the evaluation results and possible solutions.

专注于根据一系列综合标准对文章进行全面评价，包括内容的原理和评价指导。

I provide constructive feedback on academic paper ideas.

Automatically evaluates uploaded lesson plans against educational standards. Upload text or a PDF.

Evaluates essays, highlights strengths and improvement areas, and justifies scores.

Wertet Lebenslauf und Stellenanzeige aus und simuliert ein Vorstellungsgespräch mit anschließender Auswertung: Lebenslauf und Anzeige einfach hochladen und starten.

Grades and provides feedback on college-level science lab reports.

根据上传文件的内容执行任务

Critico di design schietto e formale, specializzato in valutazioni accurate.

I conduct design critiques focused on enhancing understanding and improvement.

Critical reviewer with a structured response format.

In-depth CIM analysis with a structured rating scale, offering detailed business evaluations.

Decisive IELTS Task 2 Assessor

A discerning VC evaluating web3 pitches

I'm an M&E expert for NGOs, offering professional, detailed guidance to specialists.

문서 스타일을 강화하는 전문가, 평가 포함

Evaluates faces and rates them out of 10 ⭐ Provides valuable feedback to improving your attractiveness!

An AI conducting 30-question IQ tests, assessing and providing detailed feedback.