Best AI tools for< Pool Instructor >

Pool Planner AI is an innovative application that utilizes artificial intelligence technology to help users design their dream pool with ease and accuracy. By uploading a high-quality photo of their backyard, users can generate realistic HD images of various pool designs in just minutes. The application offers a wide range of pool styles, quick turnaround time, and cost-effective pricing, making it a valuable tool for homeowners and pool companies alike.

Best Resume AI is an AI-powered resume improver that helps you tailor your resume to any job posting with perfect accuracy. It uses a multipoint system to amplify your resume so it gets past the digital gatekeepers with custom saturation methods, AI intents and deep understanding of industry. Our AI technology aligns your strengths and skills with the specific job requirements, making your resume more noticeable and effective.

Jex is an AI-driven platform that revolutionizes global hiring by cutting out middlemen and providing transparency and efficiency in the recruitment process. It empowers both talent and companies to connect directly, eliminating salary markups and hidden fees. Jex offers dynamic candidate profiles, AI-driven insights, compliance management, and payroll services, streamlining the hiring workflow and saving time and money for users.

Quick Recruit is an AI-powered hiring solution that revolutionizes the recruitment process. By leveraging advanced artificial intelligence technology, Quick Recruit streamlines and enhances the hiring process for both employers and job seekers. The platform offers a range of innovative features designed to simplify recruitment, improve candidate matching, and optimize the overall hiring experience. With Quick Recruit, organizations can save time and resources while finding the best talent efficiently.

Findem is an AI Talent Acquisition Software that offers a comprehensive platform for candidate sourcing, talent CRM, talent analytics, market intelligence, and more. It leverages AI technology to automate talent acquisition workflows and consolidate top-of-funnel activities. Findem provides unique 3D data and attributes to empower organizations in transforming their talent strategy. The platform is designed to attract, nurture, and hire with confidence, offering features such as Copilot for Sourcing, external talent sourcing, inbound management, candidate rediscovery, and talent CRM.

RecruitGenius.ai is an AI-powered automated recruiting tool designed to streamline and optimize the recruitment process for HR professionals and hiring managers. The platform offers features such as AI auto screening, one-way video interviews, smart direct interview scheduler, talent pool management system, candidate relationship management, and analytic reports. RecruitGenius.ai aims to help users pre-qualify candidates efficiently, schedule interviews seamlessly, and manage the recruitment workflow effectively, ultimately saving time and effort in the hiring process. The tool is designed to enhance recruitment efficiency and improve the quality of hires by leveraging AI technology.

Socap.ai is an AI-powered platform designed to help founders and investors grow their network and fundraise more efficiently. The platform offers a comprehensive set of tools to manage and expand social capital, providing personalized guidance, relevant introductions, and networking opportunities. By leveraging machine learning algorithms, Socap.ai streamlines the fundraising process, enabling users to connect with top industry founders and VCs, share social capital, and access exclusive resources to enhance their fundraising efforts.

Min87 is an AI-powered website that offers various features such as Auto Flowchart and Mermaid Online Editor. It also provides an online and offline 8 ball pool game called Billiards 2k(2024). The site combines AI technology with interactive tools to enhance user experience and productivity.

TalentSight is an AI-powered recruitment tool that revolutionizes the hiring process by providing access to a wide untapped talent pool of IT professionals. It helps recruiters find and engage with top talent tailored to specific requirements efficiently and effectively. The platform offers features like seamless integration with LinkedIn, personalized messaging, AI-assisted candidate evaluation, and comprehensive candidate management. TalentSight aims to streamline recruitment operations, optimize time-to-hire, and improve response rates, making it a valuable asset for recruitment agencies and HR departments.

Personno.ai is an AI-driven market research platform that provides businesses with access to a pool of AI-generated respondents. These respondents are designed to mimic the behavior and characteristics of real human respondents, allowing businesses to conduct research studies quickly and cost-effectively. Personno.ai's platform includes a range of features that make it easy to create and manage research studies, including the ability to create custom audiences, conduct real-time interviews, and collect both qualitative and quantitative data.

Prolific is a platform that allows users to quickly find research participants they can trust. It offers a diverse participant pool, including domain experts and API integration. Prolific ensures high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. The platform is designed for ease of use, with self-serve options and scalability. It provides rich, accurate, and comprehensive responses from engaged participants, verified through manual and algorithmic quality checks.

Prolific is a platform that helps users quickly find research participants they can trust. It offers free representative samples, a participant pool of domain experts, the ability to bring your own participants, and an API for integration. Prolific ensures data quality by verifying participants with bank-grade ID checks, ongoing checks to identify bots, and no AI participants. The platform allows users to easily set up accounts, access rich and comprehensive responses, and scale research projects efficiently.

Talentpair is an AI-powered hiring platform that aims to revolutionize the recruitment process by leveraging artificial intelligence to match candidates with jobs in minutes. Founded in 2014 and launched in 2020, Talentpair has a network of over 1 million connections and a pool of more than 80,000 active candidates. The platform combines AI technology with professional Growth Partners to help candidates get hired faster and supports hiring at the highest level for tech companies to scale, build, and flourish. Talentpair also integrates blockchain technology for smart contract payouts and decentralized triggers.

Recooty is a modern applicant tracking system designed for growing companies to streamline their recruiting process. It offers features such as applicant tracking, job posting, candidate tracking, interview scheduling, talent pool management, employer branding, and HR tools. With Recooty, companies can attract, engage, and hire their next teammates with ease. The platform also provides resources like job descriptions, templates, interview questions, and AI tools to enhance the recruitment experience.

Pro5.ai is an AI-driven platform that connects businesses with the top 5% remote professionals across various tech and business domains. The platform utilizes AI-powered automation to source, vet, and match professionals, ensuring unbiased and efficient hiring processes. Pro5.ai offers a diverse pool of talents, ranging from backend developers to UX designers, and provides a streamlined approach to hiring full-time, long-term talent for remote collaboration.

Holly is an AI tool designed for recruitment and staffing agencies to streamline their hiring processes. It automates candidate sourcing, engagement, and relationship-building, providing unprecedented insights and workflow automation features to help agencies make more placements per recruiter and expand their talent pool effortlessly.

coeo is a technology-based debt collection company that utilizes cutting-edge AI processes and behavioral research insights to harmonize customer relationships. They offer tailored debt collection solutions with a focus on customer satisfaction and efficiency. With an international presence in seven European countries, coeo combines the capacity and competence of a large corporation with the flexibility of a medium-sized company and the spirit of a fintech start-up. Their success is driven by a robust tech stack, extensive data pool, and continuous performance management.

We Spots is an AI-powered marketplace that connects creators with nearby rental spaces. Whether you're looking for a music studio, photo studio, venue, meeting room, coworking space, car, or pool, We Spots has you covered. With a broad selection of curated locations, you're sure to find the perfect space for your next creative or professional venture.

Gain is an AI-powered hybrid finance platform that offers transparent investment opportunities for users to earn returns on their ETH and USDC. The platform integrates DeFi protocols with algorithmic trading to generate alpha for digital-asset pools. Gain sets a new industry standard with daily third-party audits, full reserve tokens, vetted pool managers, and community alignment through GAIN token holder voting. The platform aims for attractive returns while prioritizing community engagement and transparency.

Swiftly AI is an AI-powered recruiting tool designed to streamline the candidate selection process for businesses. By leveraging artificial intelligence, Swiftly AI helps recruiters quickly identify and rank qualified candidates based on specified role requirements. The platform enables users to efficiently filter through a large pool of applicants, saving time and resources in the recruitment process. With Swiftly AI, companies can accelerate their talent search and make data-driven hiring decisions to recruit the most suitable candidates at scale.

The 'gritlm' repository provides all materials for the paper Generative Representational Instruction Tuning. It includes code for inference, training, evaluation, and known issues related to the GritLM model. The repository also offers models for embedding and generation tasks, along with instructions on how to train and evaluate the models. Additionally, it contains visualizations, acknowledgements, and a citation for referencing the work.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

EasyInstruct is a Python package proposed as an easy-to-use instruction processing framework for Large Language Models (LLMs) like GPT-4, LLaMA, ChatGLM in your research experiments. EasyInstruct modularizes instruction generation, selection, and prompting, while also considering their combination and interaction.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

This repository is a sample chatbot using the Anthropic company's LLM Claude, one of the foundational models provided by Amazon Bedrock for generative AI. It allows users to have basic conversations with the chatbot, personalize it with their own instructions and external knowledge, and analyze usage for each user/bot on the administrator dashboard. The chatbot supports various languages, including English, Japanese, Korean, Chinese, French, German, and Spanish. Deployment is straightforward and can be done via the command line or by using AWS CDK. The architecture is built on AWS managed services, eliminating the need for infrastructure management and ensuring scalability, reliability, and security.

cl-waffe2 is an experimental deep learning framework in Common Lisp, providing fast, systematic, and customizable matrix operations, reverse mode tape-based Automatic Differentiation, and neural network model building and training features accelerated by a JIT Compiler. It offers abstraction layers, extensibility, inlining, graph-level optimization, visualization, debugging, systematic nodes, and symbolic differentiation. Users can easily write extensions and optimize their networks without overheads. The framework is designed to eliminate barriers between users and developers, allowing for easy customization and extension.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system. The core features of SGLang include: - **A Flexible Front-End Language**: This allows for easy programming of LLM applications with multiple chained generation calls, advanced prompting techniques, control flow, multiple modalities, parallelism, and external interaction. - **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.

libLLM is an open-source project designed for efficient inference of large language models (LLM) on personal computers and mobile devices. It is optimized to run smoothly on common devices, written in C++14 without external dependencies, and supports CUDA for accelerated inference. Users can build the tool for CPU only or with CUDA support, and run libLLM from the command line. Additionally, there are API examples available for Python and the tool can export Huggingface models.

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

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Does Pool Performance of Elite Triathletes Predict Open-Water Performance?

Provides info on Webform pooling (beta).

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Assists in enhancing diversity and inclusion for small businesses.