
Vehicle Acquisition Network (VAN) is private-party vehicle acquisition software for franchise and independent auto dealerships. It helps dealers buy used cars directly from consumers in their local market, alongside trade-ins and instead of paying up at auction.
VAN pulls for-sale-by-owner listings from 25+ online marketplaces into one dashboard, filters out dealer and scam listings and Do-Not-Call numbers, and adds VIN decoding and market valuation to each vehicle. Buyers call, text, and email sellers from inside VAN, and every conversation stays attached to the car it is about. On VAN Accelerate™, outreach and follow-up run automatically, KBB ICO leads get a text back within minutes, and AccuTrade leads get an automatic response.
For dealers without a buyer on staff, VAN Managed Buyer™ supplies a full-time buyer who is hired, trained, and managed by VAN. The dealership still makes the final buy decision and signs the check. Every plan includes an Acquisition Coach™, and VAN works with vAuto, VINCUE, CARFAX, AutoCheck, and most dealer CRMs.
VAN was founded in 2013 and serves dealers in the United States, Puerto Rico, and Canada. Plans start at $1,695 per month. To see VAN on your market, call 855-952-4949.
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Any audio or video can be extracted to extract vocal, accompaniment, and other instruments. High-quality stem cutting based on the #1 AI-powered technology in the world. Next-generation vocal remover and music source separator service for fast, simple, and precise stem removal. You can remove vocal, instrumental, drums and bass tracks, as well as acoustic guitar, electric guitar, and synthesizer tracks, without any quality loss. You can start the service free of charge. Upgrade to get more files processed and faster results. Only for personal use. Move to the next level. You can process thousands of minutes of audio and/or video. This software is suitable for both personal and business use. Each LALAL.AI package has a limit on the amount of audio/video that can be split. The package minute limit is deducted from each file that has been fully split. You can split as many files you like, provided their total length does not exceed the minute limit.
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Tencent Cloud TI Platform
The Tencent Cloud TI Platform serves as a comprehensive machine learning service tailored for AI engineers, facilitating the AI development journey from data preprocessing all the way to model building, training, and evaluation, as well as deployment. This platform is preloaded with a variety of algorithm components and supports a range of algorithm frameworks, ensuring it meets the needs of diverse AI applications.
By providing a seamless machine learning experience that encompasses the entire workflow, the Tencent Cloud TI Platform enables users to streamline the process from initial data handling to the final assessment of models. Additionally, it empowers even those new to AI to automatically construct their models, significantly simplifying the training procedure. The platform's auto-tuning feature further boosts the efficiency of parameter optimization, enabling improved model performance.
Moreover, Tencent Cloud TI Platform offers flexible CPU and GPU resources that can adapt to varying computational demands, alongside accommodating different billing options, making it a versatile choice for users with diverse needs. This adaptability ensures that users can optimize costs while efficiently managing their machine learning workflows.
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OpenTuner
Autotuning in programming has shown significant improvements in performance and portability across various fields. Nevertheless, the portability of autotuners is often limited when transitioning between different projects, primarily due to the necessity of a domain-informed search space representation for optimal outcomes and the fact that no single search method is universally effective for all challenges. OpenTuner has emerged as a novel framework designed to create multi-objective program autotuners that are domain-specific. This framework offers fully customizable configuration representations, an extensible technique representation for incorporating domain-specific methodologies, and a user-friendly interface to interact with the programs being tuned. One of OpenTuner's standout features is its ability to utilize a combination of diverse search techniques simultaneously; those that demonstrate strong performance are allocated larger testing budgets, while those that underperform are phased out. Consequently, this adaptability enhances the overall efficiency and effectiveness of the autotuning process.
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