Best AI tools for< Score Llms >

Clearbit is a B2B marketing intelligence platform that provides data enrichment, scoring, routing, and buying intent signals. It is powered by artificial intelligence and is the first HubSpot Native Data Provider. Clearbit's data foundation is built on public data from the web, proprietary data, and the power of LLMs to convert unstructured information into precise and standardized data sets. This data can be used to enrich leads, contacts, and accounts, and to identify hidden buying intent. Clearbit also offers a variety of features to help businesses score and route leads, and to create better converting forms.

GPTs.Fan is a comprehensive platform dedicated to GPT designers, providing a wealth of resources and support. It offers a vibrant community forum where designers can connect, share knowledge, and collaborate on projects. Additionally, GPTs.Fan features a curated collection of GPT-related tools, tutorials, and articles, empowering designers to stay up-to-date with the latest advancements in the field.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

JFrog ML is an AI platform designed to streamline AI development from prototype to production. It offers a unified MLOps platform to build, train, deploy, and manage AI workflows at scale. With features like Feature Store, LLMOps, and model monitoring, JFrog ML empowers AI teams to collaborate efficiently and optimize AI & ML models in production.

Loata is an AI-powered platform that serves as a learning orchestrator for adaptive text analyses. It allows users to store their notes and documents in the cloud, which are then ingested and transformed into knowledge bases. The platform features smart AI agents powered by LLMs to provide intelligent answers based on the content. With end-to-end encryption and controlled ingestion, Loata ensures the security and privacy of user data. Users can choose from different subscription plans to access varying levels of storage and query capacity, making it suitable for individuals and professionals alike.

H2O.ai is an AI platform that offers a convergence of the world's best predictive and generative AI solutions. It provides end-to-end GenAI platform for air-gapped, on-premises, or cloud VPC deployments, allowing users to own their data and prompts. The platform includes features such as enterprise h2oGPTe, open source h2oGPT, H2O Danube3 for on-device applications, H2OVL Mississippi for vision-language models, and more. H2O.ai also offers Model Validation for LLMs, LLM Studio for no-code fine-tuning, and a GenAI App Store for developing and sharing applications. With a focus on predictive AI, H2O.ai democratizes AI with Automated Machine Learning and offers various industry and use case AI applications.

Studious Score AI is an AI-powered platform that offers knowledge and skill evaluation services supported by reputable individuals and organizations. The platform aims to revolutionize credentialing by providing a new approach. Studious Score AI is on a mission to establish itself as the global benchmark for assessing skills and knowledge in various aspects of life. Users can explore different categories and unlock their potential through the platform's innovative evaluation methods.

How Attractive Am I is an AI-powered tool that analyzes facial features to calculate an attractiveness score. By evaluating symmetry and proportions, the tool provides personalized beauty scores. Users can upload a photo to discover their true beauty potential. The tool ensures accuracy by providing guidelines for taking photos and offers a fun and insightful way to understand facial appeal.

AI Credit Repair is an AI-powered application designed to help users improve their credit score by providing tools such as credit card utilization builder, public records remover, dispute letter generator, and SMS alerts. The application assists users in managing their credit card payments, disputing collections, and staying on top of their credit-related activities. By leveraging artificial intelligence technology, AI Credit Repair aims to simplify the credit repair process and empower users to build a better financial future.

The website offers a comprehensive digital SAT preparation tool that includes full-length tests, AI-powered study plans, and proven learning methods to help students maximize their SAT scores. It provides adaptive testing structure, scoring system, test duration & format, strategic study points, personalized study plans, expert-curated SAT question bank, adaptive full-length practice tests, instant score calculator, and SAT flashcards. The platform aims to enhance accessibility, efficiency, and effectiveness in SAT preparation through a systematic approach designed to boost students' scores by 200+ points.

Humbot is an AI-powered tool that helps you bypass AI detection by humanizing your AI-generated text. It uses advanced technology to rewrite your text in a way that makes it undetectable by most AI detectors. With Humbot, you can easily create high-quality, original content that is indistinguishable from human-written text.

The SAT Reading & Writing Question Generator is an AI-powered tool designed to help students practice for the SAT exam. It generates a wide variety of reading and writing questions to improve students' skills and boost their confidence. With its smart algorithms, the tool provides personalized practice questions tailored to each student's needs, making exam preparation more effective and efficient. The tool is user-friendly and accessible, offering a seamless experience for students to enhance their test-taking abilities.

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.

AlphaRank is an AI SEO optimizer tool designed to boost website traffic by providing advanced SEO solutions. It offers a comprehensive suite of features to audit and optimize websites, leveraging AI algorithms and a vast database of keywords and merchant insights. Trusted by top-tier partners, AlphaRank aims to enhance content relevance, user engagement, and SEO precision for businesses, bloggers, and freelancers. The tool streamlines SEO operations, provides market insights, and offers expert recommendations for technical and content improvements.

Atomic Inputs is a modern customer feedback solution that leverages AI technology to collect, analyze, and transform customer feedback into actionable insights. The platform offers social media-integrated surveys, expertly crafted templates, visual analytics, and AI-powered recommendations to enhance customer experience. With features like customizable engagement, transparent pricing, and seamless integration with popular platforms, Atomic Inputs simplifies feedback collection and business metrics interpretation. The application caters to businesses of all sizes, providing tailored solutions for growth and enterprise needs.

ytRank.ai is an AI-powered tool designed to help YouTube creators optimize their content strategy, outsmart the competition, and accelerate channel growth. It offers a range of powerful features such as discovering trending keywords, analyzing SEO scores, generating compelling titles, and creating optimized tags. By leveraging AI technology, ytRank.ai aims to boost channel rankings, visibility, and attract more viewers. With a focus on increasing visibility, engagement, and long-term growth, ytRank.ai is a valuable tool for YouTubers seeking to enhance their online presence.

Football Predictions AI is a website that provides users with accurate and reliable football match predictions. Users can access a variety of prediction types, including 1x2, BTTS, Over Under, and Correct Score predictions for matches across different leagues. The site also offers live scores, articles, and settings to customize the user experience. With a focus on user privacy and data protection, Football Predictions AI aims to enhance the football betting experience for enthusiasts and fans.

Scienaptic Systems is an AI-powered Credit Decisioning Platform that revolutionizes the lending industry by automating credit underwriting processes, leveraging alternate data points, and offering self-learning models for instant credit decisions. The platform helps lenders identify creditworthy borrowers, streamline customer experience, and ensure fair lending practices through explainable AI models. Scienaptic's suite of AI-enabled technologies enables lenders to say 'Yes' to more borrowers at lower risk, providing a 360-degree risk assessment before approving applications. The platform integrates seamlessly with existing lending ecosystems, ensuring disruption-free deployment and better risk predictions through a single API call.

ATS Friendly is a free resume checker that uses AI to help you get your resume shortlisted by Applicant Tracking Systems (ATS). With our comprehensive resume keyword scanner, our AI powered ATS Resume Checker will definitely enhance your chances of getting filtered through Applicant Tracking Systems (ATS). Our FREE ATS Friendly Resume Checker allows you to check your resume against the job posting, before applying. Our AI powered ATS Scanner will go through the keywords, hard skills, soft skills and other requirements of the job description, and provide you with a comprehensive analysis. We have helped over 100,000 job seekers to get shortlisted and hired faster. Try our Free ATS Checker now and get hired faster!

HireFlow.net is an AI-powered platform designed to optimize resumes and enhance job prospects. The website offers a free resume checker that leverages advanced Artificial Intelligence technology to provide personalized feedback and suggestions for improving resumes. Users can also access features such as CV analysis, cover letter and resignation letter generators, and expert insights to stand out in the competitive job market.

Bench is a tool for evaluating LLMs for production use cases. It provides a standardized workflow for LLM evaluation with a common interface across tasks and use cases. Bench can be used to test whether open source LLMs can do as well as the top closed-source LLM API providers on specific data, and to translate the rankings on LLM leaderboards and benchmarks into scores that are relevant for actual use cases.

LLM-as-a-Judge is a repository that includes papers discussed in a survey paper titled 'A Survey on LLM-as-a-Judge'. The repository covers various aspects of using Large Language Models (LLMs) as judges for tasks such as evaluation, reasoning, and decision-making. It provides insights into evaluation pipelines, improvement strategies, and specific tasks related to LLMs. The papers included in the repository explore different methodologies, applications, and future research directions for leveraging LLMs as evaluators in various domains.

This open-source course teaches how to build an advanced RAG and LLM system using LLMOps and ML systems best practices. It helps you create an AI assistant that leverages your personal knowledge base to answer questions, summarize documents, and provide insights. The course covers topics such as LLM system architecture, pipeline orchestration, large-scale web crawling, model fine-tuning, and advanced RAG features. It is suitable for ML/AI engineers and data/software engineers & data scientists looking to level up to production AI systems. The course is free, with minimal costs for tools like OpenAI's API and Hugging Face's Dedicated Endpoints. Participants will build two separate Python applications for offline ML pipelines and online inference pipeline.

Empirical is a tool that allows you to test different LLMs, prompts, and other model configurations across all the scenarios that matter for your application. With Empirical, you can run your test datasets locally against off-the-shelf models, test your own custom models and RAG applications, view, compare, and analyze outputs on a web UI, score your outputs with scoring functions, and run tests on CI/CD.

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.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

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.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

This repository focuses on test-time computing, exploring various strategies such as test-time adaptation, modifying the input, editing the representation, calibrating the output, test-time reasoning, and search strategies. It covers topics like self-supervised test-time training, in-context learning, activation steering, nearest neighbor models, reward modeling, and multimodal reasoning. The repository provides resources including papers and code for researchers and practitioners interested in enhancing the reasoning capabilities of large language models.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

STILL is an open-source project exploring slow-thinking reasoning systems, focusing on o1-like reasoning systems. The project has released technical reports on enhancing LLM reasoning with reward-guided tree search algorithms and implementing slow-thinking reasoning systems using an imitate, explore, and self-improve framework. The project aims to replicate the capabilities of industry-level reasoning systems by fine-tuning reasoning models with long-form thought data and iteratively refining training datasets.

Aidan Bench is a tool that rewards creativity, reliability, contextual attention, and instruction following. It is weakly correlated with Lmsys, has no score ceiling, and aligns with real-world open-ended use. The tool involves giving LLMs open-ended questions and evaluating their answers based on novelty scores. Users can set up the tool by installing required libraries and setting up API keys. The project allows users to run benchmarks for different models and provides flexibility in threading options.

LLM-RGB is a repository containing a collection of detailed test cases designed to evaluate the reasoning and generation capabilities of Language Learning Models (LLMs) in complex scenarios. The benchmark assesses LLMs' performance in understanding context, complying with instructions, and handling challenges like long context lengths, multi-step reasoning, and specific response formats. Each test case evaluates an LLM's output based on context length difficulty, reasoning depth difficulty, and instruction compliance difficulty, with a final score calculated for each test case. The repository provides a score table, evaluation details, and quick start guide for running evaluations using promptfoo testing tools.

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.

llm-colosseum is a tool designed to evaluate Language Model Models (LLMs) in real-time by making them fight each other in Street Fighter III. The tool assesses LLMs based on speed, strategic thinking, adaptability, out-of-the-box thinking, and resilience. It provides a benchmark for LLMs to understand their environment and take context-based actions. Users can analyze the performance of different LLMs through ELO rankings and win rate matrices. The tool allows users to run experiments, test different LLM models, and customize prompts for LLM interactions. It offers installation instructions, test mode options, logging configurations, and the ability to run the tool with local models. Users can also contribute their own LLM models for evaluation and ranking.

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.

I keep score, for games.

I help musicians with sheet music and audio analysis.

A specialised GPT for calculating and understanding Intracranial hemorrhage scores

Thoracolumbar Injury Classification and Severity (TLICS) system calculator

Guides on checking and monitoring credit scores, with a financial and informative tone.

Upload your SAT score PDF to our calculator and analyze how you did and how to preform better

Analyzes ripeness of bananas from images.

This Custom GPT ACC Score allows you to input a an thought and analyze where on the ACC spectrum it falls.

Crafts SEO-friendly titles, subtitles, summaries, TLDRs, and hashtags for online content. Imagine crafting titles so SEO-friendly that Google sends you a personal thank-you note 😂

Get 1-on-1 tutoring. Trained from official questions only (verbal, quant, data insights). Score in the 90th percentile! 🚀

Average score from Metacritic, Rotten Tomatoes, IMDB, TMDB for any movie or series.

Nutri-Score analysis based on the Nutri-Score system in Europe

New Earth Score

I will score your Mind Blowing Startup Ideas, helping your to evaluate faster.

Assesses photo compatibility and gives a score.

Assists teachers in marking tests and generating score reports.

Free to use oracle for analyzing Net Promoter Score data.

Provides Raven's Progressive Matrices test with explanations and calculates your IQ score.

Generates images hinting at 80s TV shows, keeping score for a guessing game.

This GPT will guide you through an anxiety questionnaire and calculate your total score.