Best AI tools for< Judge >

JudgeAI is an AI tool designed to assist users in making judgments or decisions. It utilizes artificial intelligence algorithms to analyze data and provide insights. The tool helps users in evaluating information and reaching conclusions based on the input data. JudgeAI aims to streamline decision-making processes and enhance accuracy by leveraging AI technology.

AI Judge is an online platform that helps to generate a verdict and resolve disputes in a fair and impartial manner. It allows both parties involved in a dispute to present their arguments and evidence, after which the AI system analyzes the information and generates a clear and concise verdict. The platform aims to provide an additional perspective for the contending parties to consider during the dispute resolution process, ensuring impartial decisions based on the merits of each case.

Debatia is a free, real-time debate platform that allows users to debate anyone, worldwide, in text or voice, in their own language. Debatia's AI Judging System uses ChatGPT to deliver fair judgment in debates, offering a novel and engaging experience. Users are paired based on their debate skill level by Debatia's algorithm.

Flow AI is an advanced AI tool designed for evaluating and improving Large Language Model (LLM) applications. It offers a unique system for creating custom evaluators, deploying them with an API, and developing specialized LMs tailored to specific use cases. The tool aims to revolutionize AI evaluation and model development by providing transparent, cost-effective, and controllable solutions for AI teams across various domains.

Venty.chat is an AI tool designed as a safe space for users to express their thoughts and emotions anonymously. It offers a platform for users to vent and rant, receiving thoughtful advice from an AI confidante. The tool allows users to record voice notes without the need for sign up, ensuring privacy and anonymity. Venty.chat aims to provide a supportive environment for individuals seeking to share their feelings and seek guidance.

VirtualFantasy.ai is an AI-powered virtual companion platform that utilizes advanced artificial intelligence algorithms to provide users with personalized assistance and companionship. The platform offers a wide range of features such as virtual conversations, emotional support, task reminders, entertainment recommendations, and personalized insights. VirtualFantasy.ai aims to enhance users' daily lives by offering a virtual companion that can engage in meaningful interactions and provide support whenever needed.

FreedomGPT is a powerful AI platform that provides access to a wide range of AI models without the need for technical knowledge. With its user-friendly interface and offline capabilities, FreedomGPT empowers users to explore and utilize AI for various tasks and applications. The platform is committed to privacy and offers an open-source approach, encouraging collaboration and innovation within the AI community.

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

Beauty.AI is an AI application that hosts an international beauty contest judged by artificial intelligence. The app allows humans to submit selfies for evaluation by AI algorithms that assess criteria linked to human beauty and health. The platform aims to challenge biases in perception and promote healthy aging through the use of deep learning and semantic analysis. Beauty.AI offers a unique opportunity for individuals to participate in a groundbreaking competition that combines technology and beauty standards.

Confident AI is an open-source evaluation infrastructure for Large Language Models (LLMs). It provides a centralized platform to judge LLM applications, ensuring substantial benefits and addressing any weaknesses in LLM implementation. With Confident AI, companies can define ground truths to ensure their LLM is behaving as expected, evaluate performance against expected outputs to pinpoint areas for iterations, and utilize advanced diff tracking to guide towards the optimal LLM stack. The platform offers comprehensive analytics to identify areas of focus and features such as A/B testing, evaluation, output classification, reporting dashboard, dataset generation, and detailed monitoring to help productionize LLMs with confidence.

Runway AI Film Festival is an annual celebration of art and artists embracing new and emerging AI techniques for filmmaking. Established in 2022, the festival showcases works that offer a glimpse into a new creative era empowered by the tools of tomorrow. The festival features gala screenings in NYC and LA, where 10 finalists are selected and winners are chosen by esteemed judges. With over $60,000 in total prizes, the festival aims to fund the continued creation of AI filmmaking.

Cara is an AI-powered mental health therapist that listens, understands, and helps you explore your life's challenges in depth to problem-solve them. Cara understands your texts as seamlessly as your best friend would and is able to respond naturally and give you advice. Cara remembers everything you tell it and can be insightful. Cara is insightful and non-judgemental. Available anytime, anywhere.

Engage in thought-provoking debates with AI Debate Competitions. Enter the arena of ideas, where every perspective matters. Prepare to challenge and be challenged as you delve into discussions powered by advanced AI technology. Choose from a variety of debate models and languages to tailor your experience. With AI Debate Competitions, you can hone your critical thinking skills, expand your knowledge, and connect with fellow debaters from around the globe.

X Showdown is an AI-powered platform that creates Twitter battles between famous personalities to entertain and engage users. The website generates humorous comparisons and witty remarks based on the behavior and characteristics of the individuals involved. Users can challenge others to create their own showdowns and share them on social media for fun interactions and debates.

v3RPG is an AI-powered RPG adventure platform that allows users to create stories, characters, and embark on thrilling adventures. With decentralized AI judging powered by the Ora Protocol, players can climb leaderboards, earn rewards, and participate in community battles. The platform offers unique gameplay mechanics where players interact with an AI dungeon master, choose characters, make decisions, and roll dice to determine outcomes. Players can communicate with the AI dungeon master to ask questions and make adjustments to the adventure. v3RPG provides a dynamic and engaging RPG experience for players seeking immersive storytelling and strategic gameplay.

Yoodli is a private, real-time, and judgment-free communication coaching tool powered by AI. It helps users improve their communication skills by providing feedback on speech, similar to Grammarly but for spoken language. Trusted by top companies like Google, Uber, and Accenture, Yoodli offers personalized coaching experiences to enhance public speaking, sales pitches, negotiations, and crucial conversations. With features like AI-powered follow-up questions, real-time feedback, and customizable scenarios, Yoodli aims to be the go-to platform for individuals and enterprises seeking to enhance their communication abilities.

Yoodli is a free communication coach that provides private, real-time, and judgment-free coaching to help users improve their communication skills. It works like Grammarly but for speech, giving users in-the-moment nudges to help them sound confident during calls. Yoodli also tracks users' progress over time, showing them how they are doing relative to recommended benchmarks.

TalkDirtyAI is an AI-powered chatbot that allows users to explore their fantasies through simulated conversations. It is designed to provide a safe and private space for users to explore their sexuality and desires without judgment. The chatbot is trained on a massive dataset of erotic literature and is able to generate realistic and engaging conversations. It can also learn about the user's preferences over time and tailor the conversations accordingly.

Blush is an AI-powered dating simulator that helps users learn and practice relationship skills in a safe and fun environment. It offers a judgment-free space to refine communication skills, engage with different personalities, and gain a better understanding of relationships. Users can experiment with flirting, build confidence in dating, and find emotional support through conversations with AI characters. Blush allows users to explore desires, meet potential matches with unique personalities, and experience empowering relationships. The application aims to help users navigate real-world relationship dynamics and enhance their social skills.

Tutor AI is an AI English-speaking application designed to assist individuals in practicing their spoken English skills with the aid of an artificial intelligence chatbot. The app offers a safe and judgment-free environment for users to engage in free-flowing, natural conversations with diverse AI characters. It provides real-time feedback, suggests better ways to express oneself, and offers adjustable features to enhance the learning experience. Tutor AI aims to improve users' spoken English skills confidently and effectively through personalized lessons and interactive learning.

R-Judge is a benchmarking tool designed to evaluate the proficiency of Large Language Models (LLMs) in judging and identifying safety risks within diverse environments. It comprises 569 records of multi-turn agent interactions, covering 27 key risk scenarios across 5 application categories and 10 risk types. The tool provides high-quality curation with annotated safety labels and risk descriptions. Evaluation of 11 LLMs on R-Judge reveals the need for enhancing risk awareness in LLMs, especially in open agent scenarios. Fine-tuning on safety judgment is found to significantly improve model performance.

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.

Arena-Hard-Auto-v0.1 is an automatic evaluation tool for instruction-tuned LLMs. It contains 500 challenging user queries. The tool prompts GPT-4-Turbo as a judge to compare models' responses against a baseline model (default: GPT-4-0314). Arena-Hard-Auto employs an automatic judge as a cheaper and faster approximator to human preference. It has the highest correlation and separability to Chatbot Arena among popular open-ended LLM benchmarks. Users can evaluate their models' performance on Chatbot Arena by using Arena-Hard-Auto.

RAGElo is a streamlined toolkit for evaluating Retrieval Augmented Generation (RAG)-powered Large Language Models (LLMs) question answering agents using the Elo rating system. It simplifies the process of comparing different outputs from multiple prompt and pipeline variations to a 'gold standard' by allowing a powerful LLM to judge between pairs of answers and questions. RAGElo conducts tournament-style Elo ranking of LLM outputs, providing insights into the effectiveness of different settings.

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

LiveBench is a benchmark tool designed for Language Model Models (LLMs) with a focus on limiting contamination through monthly new questions based on recent datasets, arXiv papers, news articles, and IMDb movie synopses. It provides verifiable, objective ground-truth answers for accurate scoring without an LLM judge. The tool offers 18 diverse tasks across 6 categories and promises to release more challenging tasks over time. LiveBench is built on FastChat's llm_judge module and incorporates code from LiveCodeBench and IFEval.

The `vectara-agentic` Python library is designed for developing powerful AI assistants using Vectara and Agentic-RAG. It supports various agent types, includes pre-built tools for domains like finance and legal, and enables easy creation of custom AI assistants and agents. The library provides tools for summarizing text, rephrasing text, legal tasks like summarizing legal text and critiquing as a judge, financial tasks like analyzing balance sheets and income statements, and database tools for inspecting and querying databases. It also supports observability via LlamaIndex and Arize Phoenix integration.

The LLM Evaluation guidebook provides comprehensive guidance on evaluating language model performance, including different evaluation methods, designing evaluations, and practical tips. It caters to both beginners and advanced users, offering insights on model inference, tokenization, and troubleshooting. The guide covers automatic benchmarks, human evaluation, LLM-as-a-judge scenarios, troubleshooting practicalities, and general knowledge on LLM basics. It also includes planned articles on automated benchmarks, evaluation importance, task-building considerations, and model comparison challenges. The resource is enriched with recommended links and acknowledgments to contributors and inspirations.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.

CritiqueLLM is an official implementation of a model designed for generating informative critiques to evaluate large language model generation. It includes functionalities for data collection, referenced pointwise grading, referenced pairwise comparison, reference-free pairwise comparison, reference-free pointwise grading, inference for pointwise grading and pairwise comparison, and evaluation of the generated results. The model aims to provide a comprehensive framework for evaluating the performance of large language models based on human ratings and comparisons.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency. It helps you synthesize data and provide AI feedback to improve the quality of your AI models. With Distilabel, you can: * **Synthesize data:** Generate synthetic data to train your AI models. This can help you to overcome the challenges of data scarcity and bias. * **Provide AI feedback:** Get feedback from AI models on your data. This can help you to identify errors and improve the quality of your data. * **Improve your AI output quality:** By using Distilabel to synthesize data and provide AI feedback, you can improve the quality of your AI models and get better results.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

LLM Zoomcamp is a free online course focusing on real-life applications of Large Language Models (LLMs). Over 10 weeks, participants will learn to build an AI bot capable of answering questions based on a knowledge base. The course covers topics such as LLMs, RAG, open-source LLMs, vector databases, orchestration, monitoring, and advanced RAG systems. Pre-requisites include comfort with programming, Python, and the command line, with no prior exposure to AI or ML required. The course features a pre-course workshop and is led by instructors Alexey Grigorev and Magdalena Kuhn, with support from sponsors and partners.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

ScreenAgent is a project focused on creating an environment for Visual Language Model agents (VLM Agent) to interact with real computer screens. The project includes designing an automatic control process for agents to interact with the environment and complete multi-step tasks. It also involves building the ScreenAgent dataset, which collects screenshots and action sequences for various daily computer tasks. The project provides a controller client code, configuration files, and model training code to enable users to control a desktop with a large model.

AlignBench is the first comprehensive evaluation benchmark for assessing the alignment level of Chinese large models across multiple dimensions. It includes introduction information, data, and code related to AlignBench. The benchmark aims to evaluate the alignment performance of Chinese large language models through a multi-dimensional and rule-calibrated evaluation method, enhancing reliability and interpretability.

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

Constitutional knowledge source

Der Assistent für das Jurastudium

Your MTG rules expert.

A concise Magic: The Gathering rules expert.

Robô treinado para esclarecer dúvidas sobre o Código de Processo Civil brasileiro

JUEZ GPT es una herramienta diseñada para arbitrar conflictos y tomar decisiones de manera pragmática, justa y lógica, proporcionando veredictos claros

GPT da Constituição da República Federativa do Brasil

Expert on Brazil's 1988 Constitution

Asesor en derecho constitucional chileno. Te explicaré las diferencias entre la Constitución Vigente y la Propuesta Constitucional 2023.

Upload a court judgment and get back a collection of topical case digests based on the case. Oh - don't trust the "Topic 2210" or similar number, it's random. Also, probably best you not fully trust the output either. We're just playing with the GPT maker. More about us at Jurisage.com.

Assists with understanding the UK court system.

A discerning guide on Natural Law and Morality.

Your go-to advisor for moral dilemmas, offering direct, honest, and memorable guidance.

Simulates legal debates in a text-based GPT game.

Examine and simulate any level of courtroom etiquette and procedures in any country. Copyright (C) 2024, Sourceduty - All Rights Reserved.

Magical baking game host & with the 4 judges to help you become the master baker and chef