Learn about HyPoradise, a dataset with 334K+ hypotheses-transcription pairs for speech recognition. Discover how large language models are used for error correction in both zero-shot and fine-tuning scenarios.

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Unleash the full potential of your Mini Cooper with our exhaust service in Sarasota. From tailored upgrades and expert repairs to performance-oriented systems and custom sound tuning, our specialized expertise ensures enhanced horsepower, efficiency, and a uniquely satisfying driving experience. Tru

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Elevate your BMW driving experience with 'Smooth Transitions' in Rochester, NH. Our expert transmission care ensures optimal performance through advanced diagnostics, genuine components, and tailored tuning. From efficient fluid exchanges to seamless gear shifting, trust us for the finest BMW transm

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Discover essential steps for maximizing system performance in Entrinsik Informer 5 through health checks, common troubleshooting methods, data governance principles, transparency, system setup for Windows and Docker/Linux servers, and fine-tuning for Elasticsearch.

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Multiple suites of supervised learning algorithms are available for modeling prediction systems using labeled training data for regression or classification tasks. Tuning features can significantly impact model results. The training-testing process involves fitting the model on a training dataset an

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Knowledge editing for large language models focuses on addressing hallucinations and errors in generated content by modifying model behavior without affecting other inputs. Techniques such as LLM fixer, model editing, and supervised fine-tuning aim to mitigate these issues. Recent research explores

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Welcome to the Rhode Island Department of Education's online course designed to help school-based teams integrate supports for English Language Learners (ENL) into daily instruction. This five-module course focuses on using a standards-based lesson tuning protocol to enhance instructional practices

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Presentation of beamline instrumentation concepts, project planning, and objectives for measuring beam properties at the European Spallation Source. Details include systems overview, beam monitoring instruments, tuning processes, and key parameters such as power, current, and pulse duration.

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In this lecture, you will delve into Experiment #3, focusing on constructing and tuning a shock absorber to test a model for damping in a car's suspension system. The goal is to achieve critical damping for optimal performance, reducing oscillations and returning the system to equilibrium efficientl

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Deep Transfer Learning and Multi-task Learning involve transferring knowledge from a source domain to a target domain, benefiting tasks such as image classification, sentiment analysis, and time series prediction. Taxonomies of Transfer Learning categorize approaches like model fine-tuning, multi-ta

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Starting from 4th Nov 2022, ENAIRE is trialling Dynamic RAD to provide DCT options within their airspace, optimizing airspace usage and reducing distances for airlines. Objectives include allowing ANSPs to test new restrictions, supporting procedure fine-tuning, and facilitating local assessments. T

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This study presents the effectiveness of gradual fine-tuning in low-resource domain adaptation, highlighting the benefits of gradually easing a model towards the target domain rather than abrupt shifts. Inspired by curriculum learning, the approach involves training the model on a mix of out-of-doma

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Phase 1 Phonics, the initial stage of Letters and Sounds, focuses on enhancing children's speaking and listening abilities to prepare them for phonics work in Phase 2. This phase emphasizes tuning in to sounds, listening and remembering sounds, and talking about sounds through various activities des

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Dive into the world of diagnosing and debugging machine learning systems with insights on fixing learning algorithms, understanding model failures, and strategies for improvement. Explore the importance of data collection, feature selection, hyperparameter tuning, and more to enhance your system's p

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Elevate Your Audi with our comprehensive APR tuning services, designed to enhance performance and precision. We specialize in optimizing your Audi's engine, suspension, and more, using cutting-edge technology and expert craftsmanship. Experience supe

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This comprehensive overview covers key concepts in machine learning, such as sources of error, cross-validation, hyperparameter selection, generalization, bias-variance trade-off, and error components. By delving into the intricacies of bias, variance, underfitting, and overfitting, the material hel

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Explore the theoretical explanations and practical rules of tuning sail shape and mast bend in one design sailing classes. Learn about achieving balance, controlling helm, adjusting forestay rake, shaping the sail, bending the mast, and tuning mast bend for/aft to optimize performance on the water.

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During an automated performance testing campaign, a large PSM overhead was observed over Windchill, which was reduced to around 10-17% through hardware and software tuning efforts. Various recommendations and strategies were shared, including turning off UEM if not required, avoiding monitoring remo

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Delve into the world of high-energy physics with a riveting journey through the analysis preservation and tuning of hadronic interaction models. Learn about the motivation, goals, and processes involved in making research results accessible, publicly available, and reproducible. Explore the tools an

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Computer-assisted refinement in problem generation involves creating algebraic problems similar to a given proof problem by beginning with natural generalizations and user-driven fine-tuning. This process is useful for high school teachers to provide varied practice examples, assignments, and examin

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Recap and updates on the HV tuning procedure for the KM3NeT group meeting include moving to a procedure based on gain estimates, implementing HV-fitting routines in JFitHV, and addressing issues related to linear behavior, fit ranges, and outliers. Solutions for maximizing the ToT-fits efficiency ar

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There is a growing concern about academic performance in higher education institutions. This project aims to predict student dropout and success using XGBoost, focusing on early identification of at-risk students to provide personalized support. Leveraging data from Polytechnic Institute of Portaleg

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Explore disk and I/O tuning best practices for Microsoft SQL Server with insights from Kevin Kline, covering fundamentals of disk hardware architecture, disk sector alignment issues, performance impacts, and the emergence of SSD technology. Discover key strategies and resources for optimizing disk a

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The STF facility witnessed significant advancements in 2012, with activities ranging from vertical cavity testing to fall-run operations and accelerator studies. Key milestones included cool-down processes, beam tuning, collision tuning, and symposium events, leading up to a successful run-end in De

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OCELOT, along with fellow researchers, has been optimizing SASE at facilities like FLASH, focusing on economic benefits and improved performance. By combining model-free and model-depending optimization techniques, they have achieved significant progress in beam dynamics simulations and tuning seque

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The aim of the project is to match the impedance of the circuit to 50 ohms at the resonance frequency of 14.8 MHz. The process involves calculating the impedance, working at low frequencies to determine key parameters, calculating capacitors, determining Q, and finally calculating tuning and matchin

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Explore the innovative approach of Tuning to enhance job performance while sleeping. Learn about the vision, mission, architecture, and typical conversations related to this process. Discover the significance of tuning, manual tuning phases, and Dr. Elephant's heuristic-based recommendations for opt

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Exploration of machine learning optimization algorithms for enhancing HTTP latency tuning on NGINX. The study investigates the use of ML tuning as a superior alternative to manual methods, focusing on operating system tuning, existing methods, and future autotuning work. Key areas covered include me

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Delve into the world of bow tuning and equipment workshops with this detailed guide. Learn about bareshaft tuning, arrow spine, arrow flight behavior, and more essential topics for archery enthusiasts. Discover methods to ensure consistent technique and optimize your equipment setup for a fulfilling

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Delve into the process of tuning check and parameter reconstruction through a series of informative images depicting old tuning parameters and data sets. Explore how 18 data and 18 MC as well as 18 MC and 12 MC old tuning parameters play a crucial role in optimizing performance and accuracy. Gain va

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Current status of the fast drive laser system includes a running laser with a 3MHz pulse train and a 5Hz repetition frequency. The system allows for easily achieving pulse lengths up to 200-300s, with potential for longer pulses after extensive tuning. The upgrade plan involves utilizing machine lea

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This material provides a detailed guide on Oracle performance tuning for Windchill Administrators by Stephen Vaillancourt, a Technical Fellow at PTC Platinum Technical Support. It covers identifying and resolving Oracle-related issues impacting system performance, dealing with Oracle performance, an

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Dmitry Samsonov, Lead System Administrator at Odnoklassniki, shares insights on memory tuning, the impact of network stack configuration, and the challenges faced during server migration. The discussion covers memory fragmentation, OOM killer issues, CPU spikes, and strategies to address memory pres

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Data mining evaluation is crucial for determining the predictive power of machine learning models. Issues such as training, testing, and tuning are explored, along with techniques like holdout, cross-validation, and hyperparameter selection. The evaluation process assesses model performance, statist

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Experiments show that a simple CNN with minimal hyperparameter tuning and static vectors achieves excellent results for sentence-level classification tasks. Fine-tuning task-specific vectors further improves performance. A dataset from Rotten Tomatoes is used for the experiments, showcasing results

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Explore tuning tips for new stations, handling edge cases, and developments in Binder since 2009. Focus on parameters for nucleation and association, with a glimpse into a recent case. Enhance your Earthworm experience with this comprehensive guide.

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This research presents a machine learning approach for computing the dynamic aperture of circular accelerators, crucial for ensuring stable particle motion. The study explores the use of Echo-state Networks, specifically Linear Readout and LSTM variations, to predict particle behavior in accelerator

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Utilizing Linear Discriminant Analysis (LDA), Classification and Regression Trees (CART), and K-Means algorithms on Data Set 1. CART training involved tuning the number of leaves for optimal performance, while LDA explored covariance variations and discriminant types. The K-Means method was applied

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Electron density is crucial for understanding atomic bonding. This research project explores using machine learning, specifically a Unet architecture, to predict electron density in a Lithium-Oxygen-Lithium system. The data set was generated by varying the positions of Lithium atoms and calculating

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Bayesian optimization is being used at LCLS to tune the Free Electron Laser (FEL) pulse energy efficiently. The current approach involves a tradeoff between human optimization and numerical optimization methods, with Gaussian processes providing a probabilistic model for tuning strategies. Prior mea

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