Large Language Models (LLMs) are sophisticated deep learning algorithms capable of understanding and generating human language. These models, trained on massive datasets, excel at various natural language processing tasks such as sentiment analysis, text classification, natural language inference, s

1 views • 83 slides

Scientists simulate the climate system and project future scenarios by observing, measuring, and applying knowledge to computer models. These models represent Earth's surface and atmosphere using mathematical equations, which are converted to computer code. Supercomputers solve these equations to pr

3 views • 15 slides

System models play a crucial role in software engineering, aiding in understanding system functionality and communicating with customers. They include context models, behavioural models, data models, object models, and more, each offering unique perspectives on the system. Different types of system

1 views • 33 slides

Input-Output models, pioneered by Wassily Leontief, depict inter-industry relationships within an economy. These models analyze the dependencies between different sectors and have been utilized for studying agricultural production distribution, economic development planning, and impact analysis of i

8 views • 7 slides

This study delves into gender bias evaluation in BERTi, a large language model trained on South Slavic data. It explores issues in language modeling, the impact of social biases in artificial intelligence, and training processes of Large Language Models (LLMs). Additionally, it discusses how LLMs le

11 views • 16 slides

Simone Ferraro from Lawrence Berkeley National Laboratory discusses the significance of Cosmic Microwave Background (CMB) experiments in probing the large-scale structure of the universe. Covering topics like the interaction of photons with matter, CMB lensing, and CMB lensing tomography, this prese

3 views • 21 slides

Explore the concept of scale factors and ratios in similar figures through visible learning intentions, warm-up exercises, and practical examples. Learn to determine the scale factor between two similar figures, use scale factors to find missing sides, and apply the knowledge in real-world scenarios

3 views • 13 slides

This SAFe roadmap template is designed for showcasing projected and actual product statuses in large-scale Agile environments. It features customizable Program Increment planning columns to indicate objectives, timelines, milestones, and additional details. Ideal for securing project sponsor support

1 views • 4 slides

This study focuses on the impact of foreign investment in large-scale agriculture in Ethiopia, particularly in the lowlands. It examines the actors involved, biophysical environment issues, displacement concerns, and local community empowerment. The analysis underscores the importance of meaningful

2 views • 6 slides

Exploring different models of teaching, such as Carroll's model, Proctor's model, and others, that guide educational activities and environments. These models specify learning outcomes, environmental conditions, performance criteria, and more to shape effective teaching practices. Functions of teach

1 views • 20 slides

Spark Streaming, developed at UC Berkeley, extends the capabilities of Apache Spark for large-scale, near-real-time stream processing. With the ability to scale to hundreds of nodes and achieve low latencies, Spark Streaming offers efficient and fault-tolerant stateful stream processing through a si

0 views • 30 slides

Scale is crucial in architecture for accurate designs and execution. Standard scales are used in architectural drawings to set object sizes, such as human scale and miniature scale. Human scale relates to human dimensions, while miniature scale reduces object sizes. Understanding these scales enhanc

0 views • 6 slides

Models of teaching serve as instructional designs to facilitate students in acquiring knowledge, skills, and values by creating specific learning environments. Bruce Joyce and Marsha Weil classified teaching models into four families: Information Processing Models, Personal Models, Social Interactio

1 views • 28 slides

This project, coordinated by the Polytechnic University of Catalonia and funded by the City Council of Barcelona, focuses on the global dimensions of engineering education, specifically in the context of algebra and large-scale dam assessment using the Merowe Dam in Sudan as a case study. The conten

0 views • 20 slides

Large scale retailing encompasses department stores, multiple shops, mail-order businesses, and super bazaars. It can be classified into store-based and non-store based retailing, further divided based on ownership and merchandise offered. Store-based retailers include independent retailers, chain r

1 views • 16 slides

Models play a crucial role in various disciplines, including agricultural geography, by offering a simplified and hypothetical representation of complex phenomena. When used correctly, models help in understanding reality and empirical investigations, but misuse can lead to dangerous outcomes. Longm

0 views • 8 slides

Explore the similarities between Computable General Equilibrium (CGE) models and Dynamic Stochastic General Equilibrium (DSGE) models, their equilibrium concepts, and the use of descriptive equilibria in empirical modeling. Learn how CGE and DSGE models simulate the operation of commodity and factor

4 views • 15 slides

The New Trade Theory, emerged in the 1970s, challenges traditional trade theories by emphasizing the role of increasing returns and economies of scale in international trade. It introduces the concept of industrial organization and imperfect competition to explain how countries trade not only based

0 views • 12 slides

Augmented generation models, such as REALM and RAG, integrate retrieval and generation tasks to improve information retrieval processes. These models leverage background knowledge and language models to enhance recall and candidate generation. REALM focuses on concatenation and retrieval operations,

1 views • 9 slides

Item Response Theory (IRT) is a statistical measurement model used to describe the relationship between responses on a given item and the underlying trait being measured. It allows for indirectly measuring unobservable variables using indicators and provides advantages such as independent ability es

2 views • 32 slides

Explore the evolution of global organizations in the face of globalization, digital disruption, and shifting business models. Learn about designing structures for agility and scale, integrating global and local models, and navigating the complexities of the modern business landscape. The future lies

0 views • 27 slides

Exploring the pH scale, this content delves into the fundamentals of acidity and alkalinity, covering what pH stands for, the inventor of the pH scale, reactions when acids and bases combine, and where the weakest acids and bases are found on the pH scale.

0 views • 7 slides

Addressing the challenge of stragglers in large-scale storage systems, this research introduces a Parity-Only Caching scheme for robust straggler tolerance. By combining caching and erasure coding techniques, the aim is to mitigate latency variations caused by stragglers without the need for accurat

0 views • 29 slides

Ewan Anderson from Fore Consulting Limited discusses the application of TRICS in evaluating transportation impacts for large strategic sites like Harlow Grange and Clifton Gate. TRICS is used to estimate average person trip rates and vehicular trip rates, providing valuable insights for traffic plan

0 views • 16 slides

Web caching plays a crucial role in improving user experience and reducing internet congestion. By implementing shared web caching on a larger scale, we can achieve significant benefits in terms of latency reduction. However, this approach comes with challenges such as efficient storage and retrieva

1 views • 20 slides

Lecture slides discuss key concepts, goals, challenges, and strategies for aligning long sequences, focusing on methods like suffix trees, dynamic programming, and pattern matching. The MUMmer system for finding maximal unique matching subsequences is explored along with examples of large-scale alig

0 views • 46 slides

Engineering scale plays a crucial role in reducing or enlarging dimensions of large or tiny objects to fit standard size drawing sheets. This article covers the concept of reducing scale, representative factor, types of scales like plain, diagonal, vernier, and more, along with detailed construction

0 views • 11 slides

The study explores how different consequences and contexts influence effort in International Large-Scale Assessments (ILSAs), focusing on the presentation to the AEA-Europe Conference in Dublin, Ireland. By examining test-taking motivation across jurisdictions like Shanghai and New Zealand, the rese

0 views • 16 slides

In the realm of large-scale search and machine learning, implementing efficient solutions for text document retrieval is crucial. Techniques like inverted index and bitwise operations help overcome challenges of storage and sparsity in managing vast collections of documents. Measures like precision

0 views • 17 slides

Graphic artists often need to resize shapes for different purposes while ensuring they maintain their original proportions. This involves determining the scale factor between similar shapes, understanding how to find the scale factor using corresponding sides, and dealing with scenarios where sides

0 views • 8 slides

Exploring the concept of horizontal boundaries in firm behavior, this lecture delves into Long-run Average Cost curve, economies and diseconomies of scale, optimal plant size, and the Minimum Efficient Scale. It discusses how economies of scale affect production costs and the relationship between ma

0 views • 25 slides

The WMO Scale of Assessment for members' contributions and the Working Capital Fund is based on the United Nations Scale, adjusted for differences in membership every 3 years. The latest scale approved by EC-75 for 2023 uses the UN scale from December 2021. The rates for 2026-2027 will be determined

0 views • 9 slides

Delve into the world of information retrieval models with a focus on traditional approaches, main processes like indexing and retrieval, cases of one-term and multi-term queries, and the evolution of IR models from boolean to probabilistic and vector space models. Explore the concept of IR models, r

0 views • 65 slides

Explore the process of photosynthesis in potato plants through molecular models and chemical changes at different scales, from atomic-molecular to macroscopic. Learn how potato plants produce food through biosynthesis and cellular respiration, connecting the atomic-molecular scale to the macroscopic

0 views • 23 slides

Large-scale prevailing winds, such as the Hadley Cell, vary by latitude. These winds drive global atmospheric circulation, with rising air at the equator, sinking air at 30 degrees, and trade winds in between. By studying wind patterns, we gain insights into climate systems and weather phenomena.

0 views • 13 slides

Cross-classified models in multilevel modelling involve non-hierarchical data structures where entities are classified within multiple categories. These models extend traditional nested multilevel models by accounting for complex relationships among data levels. Professor William Browne from the Uni

0 views • 13 slides

Pressure ulcer risk assessment is crucial in healthcare settings to identify individuals at risk of developing pressure ulcers. The Braden Scale, developed in 1984, evaluates six key elements contributing to pressure ulcer development. It provides a standardized method for assessing risk levels base

0 views • 20 slides

Explore how web-scale NLP techniques are applied to break down URLs into words effectively. Various models and evaluations are discussed to address the challenges of handling diverse language styles and the need for matched data to ensure accuracy in different languages. The study emphasizes the imp

0 views • 21 slides

The research focuses on optimizing fusion plans for large-scale machine learning in SystemML. It discusses the motivation behind fusion opportunities, the need for optimizing fusion plans, and system architecture considerations. The study emphasizes the challenges in heuristic fusion planning for co

0 views • 17 slides

Pretrained large-scale vision-language models like CLIP show strong generalization on unseen tasks but are vulnerable to imperceptible adversarial perturbations. This work delves into adapting these models for zero-shot transferability in adversarial robustness, even without specific training on unk

0 views • 18 slides