Best AI tools for< Improve Performance >

Yogger is a video analysis app and AI movement screening tool that enables users to analyze movement anytime, anywhere. The technology allows for motion capture on mobile devices, making it easy to improve performance, prevent injuries, and achieve personal bests effortlessly. With Yogger, users can perform multiple movements, gather information instantly, and receive detailed reports on movement screenings. It is a motivational tool for clients looking to improve their assessment scores and a convenient way for trainers and coaches to assess clients and communicate ways to enhance performance.

DeepOpinion is a Generative Automation platform designed for enterprises to automate various business processes using cutting-edge AI technology. It combines business process digitization, low/no-code development, and Generative AI to create powerful enterprise-grade automations in minutes. Trusted by enterprises large and small, DeepOpinion offers solutions for industries such as financial services, insurance, and manufacturing, with a focus on automating tasks like trade financing, consumer loan processing, and customer support. The platform also provides AI models, case studies, and testimonials to showcase its effectiveness in streamlining operations and improving efficiency.

Intelogos is an AI-powered workforce analytics and performance management application that helps organizations improve employee performance, prevent burnout, and enhance productivity. It offers features such as time tracking, attendance tracking, burnout prevention, remote employee monitoring, and performance management. By leveraging analytics and artificial intelligence, Intelogos provides insights into team activities, performance trends, and employee wellbeing. The application aims to create effective teams by offering data-driven recommendations and fostering a positive work culture.

The website is an AI tool designed for API privacy, governance, and testing. It offers solutions to detect and remediate sensitive data leaks, ensure compliance, and automate API testing and documentation. The AI-driven platform is trained on 70k public APIs and provides features like AI detection, cataloging, remediation, and best practices for data collection and storage. It aims to streamline API development, enhance performance, and improve security for APIs and applications.

Stat Pick AI is a powerful AI-powered sports analytics platform that provides users with in-depth insights and predictions on a wide range of sports. With Stat Pick AI, users can gain a competitive edge by accessing real-time data, advanced analytics, and expert insights. The platform is designed to help users make informed decisions, identify opportunities, and improve their performance in sports betting, fantasy sports, and other sports-related activities.

LogicMonitor is a cloud-based infrastructure monitoring platform that provides real-time insights and automation for comprehensive, seamless monitoring with agentless architecture. It offers a wide range of features including infrastructure monitoring, network monitoring, server monitoring, remote monitoring, virtual machine monitoring, SD-WAN monitoring, database monitoring, storage monitoring, configuration monitoring, cloud monitoring, container monitoring, AWS Monitoring, GCP Monitoring, Azure Monitoring, digital experience SaaS monitoring, website monitoring, APM, AIOPS, Dexda Integrations, security dashboards, and platform demo logs. LogicMonitor's AI-driven hybrid observability helps organizations simplify complex IT ecosystems, accelerate incident response, and thrive in the digital landscape.

Interviews Chat is an AI-powered interview preparation tool that offers real-time suggestions, personalized question preparation, and in-depth feedback to help users ace their interviews. The tool includes a Copilot feature with vision capability for coding challenges and whiteboard tasks. Users can practice answering questions via a video interface, receive tailored interview questions based on their resume and job description, and get instant feedback on their responses. Interviews Chat aims to provide a realistic practice environment to improve interview performance and make a lasting impression.

New Relic is an AI monitoring platform that offers an all-in-one observability solution for monitoring, debugging, and improving the entire technology stack. With over 30 capabilities and 750+ integrations, New Relic provides the power of AI to help users gain insights and optimize performance across various aspects of their infrastructure, applications, and digital experiences.

aiWORKOUT generator is an AI-powered fitness platform that offers personalized workout plans tailored to individual needs and circumstances. The platform combines advanced AI technology with certified fitness trainers to create hyper-personalized workout plans that are safe and effective. Users can choose from different membership tiers to access customized workout programs, nutrition plans, 1-on-1 training sessions, and ongoing expert adjustments. The platform's AI exercise generator takes into account users' current fitness levels, goals, and equipment availability to create evolving workout plans. With aiWORKOUT generator, users can experience the future of fitness by achieving their goals faster and more efficiently.

Apollo is a Sales Intelligence and Engagement Platform that offers a comprehensive suite of tools to help sales teams find leads, engage with prospects, manage deals, and improve performance. Powered by AI, Apollo provides accurate data on millions of contacts and companies, enabling users to streamline operations, automate tasks, and make data-driven decisions. With features like Contact & Account Search, Sales Engagement, Conversation Intelligence, and Workflow Engine, Apollo empowers sales professionals to boost productivity and close deals effectively. The platform caters to various roles in sales and marketing, offering insights, recommendations, and actionable feedback to drive revenue growth and success.

Get-offer.me is an AI Interview Assistant application designed to help users excel in job interviews by providing real-time assistance with answers. The AI assistant supports over 20 languages and seamlessly integrates with various online meeting software. By offering live support, contextually appropriate responses, and boosting confidence, Get-offer.me aims to enhance users' interview performance and increase their chances of securing job offers.

Adext is an AI-powered platform that offers real-time ad spend optimization for Google, YouTube, Instagram, and Facebook Ads. It provides an advanced end-to-end solution for marketing teams by automatically optimizing audience segments and budget allocations using proprietary Machine Learning algorithms. Adext aims to deliver exceptional performance and increased return on ad spend for advertisers and agencies through AI-driven ad allocation. The platform offers benefits such as daily budget updates, autonomous daily changes, and transparent operation within the user's own accounts. Adext also provides free digital marketing consultancy to help businesses navigate the digital marketing landscape.

Allego Conversation Intelligence is an AI-powered platform that helps revenue teams enhance performance and revenue by analyzing sales conversations. The platform enables users to capture, review, coach, and share valuable insights from conversations with customers. It leverages AI-driven analysis to reveal successful outcomes and provides data-driven performance coaching to improve sales performance. Allego Conversation Intelligence allows users to search, filter, and leverage call intelligence to uncover key moments that impact revenue. Trusted by top companies, the platform offers integrations with existing systems and resources for modern sales teams.

Uplift is an AI-powered platform that optimizes human movement performance by providing insights for sports performance, sports medicine, and sports media. It offers products like Uplift Capture and Uplift Vision to enhance performance, minimize risk, and elevate broadcasting experiences. The platform is utilized by Major League Baseball, professional sports teams, elite performance coaches, and Division I athletics programs. Uplift uses AI-powered movement analysis to unlock unrivaled insights for athletes and broadcasters, helping them improve performance, reduce injury risk, and engage fans effectively.

Final Round AI is an AI-powered platform designed to assist users in various stages of the job application process, from resume building to interview preparation. The platform offers a suite of AI tools, including Interview Copilot for real-time interview guidance, AI Resume Builder for creating optimized resumes, and Question Bank for practicing interview questions. Final Round AI aims to empower users by providing personalized support, industry-specific scenarios, and real-time feedback to enhance their job application success.

TarsyAI is an AI tool that allows users to build AI assistants without the need for coding. Users can create customized AI assistants to manage customer support, lead generation, sales, and more. The platform offers features such as training with own data, customizing chat widgets, deploying AI assistants, monitoring and improving performance. TarsyAI supports multiple languages, provides advanced AI instructions, lead generation capabilities, and detailed analytics to enhance user interactions. The tool offers various pricing options to cater to different user needs, with a free trial available for all plans.

Beyz AI is an AI Interview Assistant application that provides real-time answers during interviews. It offers features such as auto-translate, tailored interview prep modes, and universal meeting compatibility. The application aims to help users improve their interview performance and ensure success by leveraging AI technology. With a focus on enhancing interview skills and providing instant, tailored help, Beyz AI is designed to support users throughout the interview process.

Webb.ai is an AI-powered platform that offers automated troubleshooting for Kubernetes. It is designed to assist users in identifying and resolving issues within their Kubernetes environment efficiently. By leveraging AI technology, Webb.ai provides insights and recommendations to streamline the troubleshooting process, ultimately improving system reliability and performance. The platform is user-friendly and caters to both beginners and experienced users in the field of Kubernetes management.

EXCELR8 is an AI-infused platform designed to help leaders and teams improve performance and retention to empower sustainable growth. It offers a range of tools and features such as performance and engagement surveys, AI-powered insights and data analysis, tailored learning and development, goals and action planning dashboards, and performance and retention management systems. The platform provides clear and actionable data, specific recommendations for immediate implementation, and personalized development opportunities. EXCELR8 aims to revolutionize the way organizations build and retain high-performance teams by leveraging AI technology and science-backed tools.

Nextoffer is an AI Interview Assistant application designed to help users excel in technical interviews by providing real-time assistance, AI-driven mock interviews, personalized feedback, and position-specific guidance. The tool is expert-trained, offers undetectable assistance, integrates with major video call platforms, and supports over 30 languages. It aims to help users land their dream jobs with confidence by staying updated with the latest interview questions and hiring rubrics from leading companies.

Koordinator is a QoS based scheduling system for hybrid orchestration workloads on Kubernetes. It aims to improve runtime efficiency and reliability of latency sensitive workloads and batch jobs, simplify resource-related configuration tuning, and increase pod deployment density. It enhances Kubernetes user experience by optimizing resource utilization, improving performance, providing flexible scheduling policies, and easy integration into existing clusters.

Akagi is a project designed to help users understand and improve their performance in Majsoul game matches in real-time. It provides educational insights and tools for analyzing gameplay. Users can install Akagi on Windows or Mac systems and follow the setup instructions to enhance their gaming experience. The project aims to offer features like Autoplay, Auto Ron, and integration with MajsoulUnlocker. It also focuses on enhancing user safety by providing guidelines to minimize the risk of account suspension. Akagi is a tool that combines MITM interception, AI decision-making, and user interaction to optimize gameplay strategies and performance.

Palico AI is a tech stack designed for rapid iteration of LLM applications. It allows users to preview changes instantly, improve performance through experiments, debug issues with logs and tracing, deploy applications behind a REST API, and manage applications with a UI control panel. Users have complete flexibility in building their applications with Palico, integrating with various tools and libraries. The tool enables users to swap models, prompts, and logic easily using AppConfig. It also facilitates performance improvement through experiments and provides options for deploying applications to cloud providers or using managed hosting. Contributions to the project are welcomed, with easy ways to get involved by picking issues labeled as 'good first issue'.

AvaTaR is a novel and automatic framework that optimizes an LLM agent to effectively use provided tools and improve performance on a given task/domain. It designs a comparator module to provide insightful prompts to the LLM agent via reasoning between positive and negative examples from training data.

Implementation of Double DQN reinforcement learning for OpenAI Gym environments with discrete action spaces. The algorithm aims to improve sample efficiency by using two uncorrelated Q-Networks to prevent overestimation of Q-values. By updating parameters periodically, the model reduces computation time and enhances training performance. The tool is based on the Double DQN method proposed by Hasselt in 2010.

Ape is an AI prompt engineer tool powered by the open-source library 'ape-core', developed by Weavel. It allows users to generate AI prompts efficiently and effectively. The tool is designed to enhance productivity by providing syntax highlighting for '.prompt' files and welcoming contributions to improve its capabilities and performance. Users can seek help and support through the issue tracker or join the Ape community Discord server. Ape is licensed under the MIT License and credits Stanford NLP's DSPy project for inspiration.

This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just a single line of code. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

This repository contains the code for LongRAG, a framework that enhances retrieval-augmented generation with long-context LLMs. LongRAG introduces a 'long retriever' and a 'long reader' to improve performance by using a 4K-token retrieval unit, offering insights into combining RAG with long-context LLMs. The repo provides instructions for installation, quick start, corpus preparation, long retriever, and long reader.

Pwnagotchi is an AI tool leveraging bettercap to learn from WiFi environments and maximize crackable WPA key material. It uses LSTM with MLP feature extractor for A2C agent, learning over epochs to improve performance in various WiFi environments. Units can cooperate using a custom parasite protocol. Visit https://www.pwnagotchi.ai for documentation and community links.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just **a single line of code**. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

MatMul-Free LM is a language model architecture that eliminates the need for Matrix Multiplication (MatMul) operations. This repository provides an implementation of MatMul-Free LM that is compatible with the 🤗 Transformers library. It evaluates how the scaling law fits to different parameter models and compares the efficiency of the architecture in leveraging additional compute to improve performance. The repo includes pre-trained models, model implementations compatible with 🤗 Transformers library, and generation examples for text using the 🤗 text generation APIs.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

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

Laravel Slower is a powerful package designed for Laravel developers to optimize the performance of their applications by identifying slow database queries and providing AI-driven suggestions for optimal indexing strategies and performance improvements. It offers actionable insights for debugging and monitoring database interactions, enhancing efficiency and scalability.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Wandbot is a question-answering bot designed for Weights & Biases documentation. It employs Retrieval Augmented Generation with a ChromaDB backend for efficient responses. The bot features periodic data ingestion, integration with Discord and Slack, and performance monitoring through logging. It has a fallback mechanism for model selection and is evaluated based on retrieval accuracy and model-generated responses. The implementation includes creating document embeddings, constructing the Q&A RAGPipeline, model selection, deployment on FastAPI, Discord, and Slack, logging and analysis with Weights & Biases Tables, and performance evaluation.

It's time to crawl your website, it's time to test your code!

Analyzes and summarizes dashboard visuals

Expert React/TypeScript dev and teacher, guides in debugging.

I will help you write and draft inspirational OKRs in seconds

Tech-savvy manager for computer-based problem-solving.

Pythonのコードに対してアドバイスしてくれます

A comprehensive mental strength coach for athletes.

Interactive system for detailed self-evaluations in PDF format.

KAI, votre assistant ultime dédié à tous l'univers Javascript (VueJS, React, Angular et tous les autres framework frontend Javascript) dans son ensemble, sympathique et serviable. ALL LANGUAGES

An assistant for iOS devs to create beautiful mobile app animations, gestures, and transitions

A factorio moder that creates mods for you and improves your functions and makes helpful functions from the game api

A chatbot trained on GA4 documentation, updated regularly, providing detailed guidance along with helpful links.

Combines rule analysis with media insights.

Clone and replicate the source site using a screenshot, while enabling continuous development and optimization capabilities. - 通过截图复制源站点前端代码，同时具备持续开发和优化功能。Any Issue: contact me @X: https://twitter.com/tb_xy09

Business and Performance Improvement Coaching Simulator -TGROW

A content creator coach aiding in YouTube video content creation, analysis, script writing and storytelling. Designed by a successful YouTuber to help other YouTubers grow their channels.

Sitecore expert MVPinny at your service!

Revolutionize Problem-Solving: AI-Enhanced, Expert-Driven Business Solutions Like First Principles, A3, 8D, McKinsey 7S, 4S, DMAIC, Kaizen, Lean Six Sigma, 40 TRIZ Principles of Innovation

An assistant to help your craft effective OKRs (Objectives & Key Results)

Expert on altitude training research and benefits

小天才帮你优化OKR

Assisting with e-commerce data queries about My Lead Fox

Efficient, data-driven football scout, focusing on key insights.

Expert in Kubernetes, using Kubernetes website source code for insights.

Facilitate reflective self-exploration of 2023

Expert on sports drinks and hydration, providing practical, health-focused advice.

Super assistant for creating a web app

Versatile coach for diverse advice in academics, business, art, and more.

Expert in Aveva Intouch Wonderware, assists with code and troubleshooting.

Friendly yet professional OKR guide.

Engaging and supportive AI for strategic OKR planning.

优化代码，提升运行速度的专家

I advise on the design and optimization of Unity games.

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