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.

4 views • 16 slides

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

6 views • 22 slides

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

2 views • 26 slides

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.

0 views • 39 slides

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

3 views • 74 slides

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

6 views • 36 slides

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

2 views • 37 slides

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.

1 views • 19 slides

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

0 views • 24 slides

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

1 views • 26 slides

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

0 views • 12 slides

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

0 views • 17 slides

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

3 views • 17 slides

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

2 views • 24 slides

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.

0 views • 23 slides

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

0 views • 4 slides

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

0 views • 23 slides

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

0 views • 16 slides

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

0 views • 11 slides

ALBA LLRF upgrades aim to improve beam availability by implementing auto-recovery processes and feed-forward loops for RF trip compensation. The upgrades involve detuning cavities, adjusting amplitudes and phases, and enabling tuning loops to ensure smooth power delivery to the beam. Despite challen

0 views • 10 slides

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

0 views • 34 slides

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

0 views • 8 slides

Explore the latest research highlights in beam dynamics and simulation conducted by Stewart T. Boogert at the John Adams Institute in collaboration with Royal Holloway. Learn about the groundbreaking work in wakefield measurement, achieving a beam size of 65 nm, development of beam delivery simulati

0 views • 15 slides

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

0 views • 30 slides

Exploring the fundamental concepts of programs and processes in operating systems, this content delves into the definitions of programs and processes, the relationship between them, the components of a program, what is added by a process, and how processes are created. The role of DLLs, mapped files

0 views • 22 slides

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

0 views • 25 slides

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

0 views • 36 slides

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

0 views • 24 slides

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

0 views • 24 slides

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

0 views • 4 slides

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

0 views • 18 slides

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

0 views • 37 slides

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

0 views • 50 slides

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

0 views • 10 slides

Visualization, defined as the representation of data or concepts in visual form, is an active and constructive process involving both products and processes. Visual processing involves just enough processing to focus on salient stimuli, with attention playing a crucial role. Visual thinking and quer

0 views • 20 slides

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.

0 views • 7 slides

MiTek Industries, a global leader in engineered products, faced performance and record locking issues post server upgrade during their QAD .Net UI implementation. Challenges included high process count with low CPU usage, run-away processes, and slow sales order entry. Consultant Gary Yang and Round

0 views • 16 slides

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

0 views • 15 slides

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

0 views • 16 slides

This research focuses on hyper-parameter tuning for graph kernels using Multiple Kernel Learning, emphasizing the importance of kernel methods in learning on structured data like graphs. It explores techniques applicable to various domains and discusses different graph kernels and their sub-structur

0 views • 20 slides