From Static to Dynamic: A Continual Learning Framework for Large Language Models

The vast number of parameters in large language models (LLMs) endows them with remarkable capabilities, allowing them to excel in a variety of natural language processing tasks. However, this complexity also presents challenges, making LLMs difficult to train and inhibiting their ability to continuously assimilate new knowledge, which may lead to inaccuracies in their outputs. To mitigate these issues, this paper presents DynaMind, a novel continual learning framework designed for LLMs. DynaMind incorporates memory mechanisms to assimilate new knowledge and modular operators to enhance the model inference process with the newly assimilated knowledge, consequently improving the accuracies of LLMs' outputs. Benchmark experiments demonstrate DynaMind's effectiveness in overcoming these challenges. The code and demo of DynaMind are available on GitHub: https://github.com/Elfsong/DynaMind

Challenges for MapReduce in Big Data

In the Big Data community, MapReduce has been seen as one of the key enabling approaches for meeting continuously increasing demands on computing resources imposed by massive data sets. The reason for this is the high scalability of the MapReduce paradigm which allows for massively parallel and distributed execution over a large number of computing nodes. This paper identifies MapReduce issues and challenges in handling Big Data with the objective of providing an overview of the field, facilitating better planning and management of Big Data projects, and identifying opportunities for future research in this field. The identified challenges are grouped into four main categories corresponding to Big Data tasks types: data storage (relational databases and NoSQL stores), Big Data analytics (machine learning and interactive analytics), online processing, and security and privacy. Moreover, current efforts aimed at improving and extending MapReduce to address identified challenges are presented. Consequently, by identifying issues and challenges MapReduce faces when handling Big Data, this study encourages future Big Data research

Model Pengembangan Mutu di Lembaga Pendidikan

Improving the quality of education is aimed at improving the quality of Indonesian people through exercise, thinking, sports and sports in order to have competitiveness in facing global challenges. Increasing the relevance of education is intended to produce graduates in accordance with the demands of the needs based on the potential of Indonesia's natural resources. Improving the quality of Islamic education institutions needs to be continuously pursued by prioritizing quality analysis theories and their application in every managerial process. Quality problems always have implications for the selling value of an educational institution. The achievements and prestige of the institution are highly dependent on the quality of learning, facilities and infrastructure, supporting facilities, teachers and students, and learning outcomes. This type of research used in this research is a library (Library Research). This research is aimed at collecting data and information with the help of various materials in the library room, such as books, magazines, document notes and other historical stories. Some of the Quality Concepts put forward by experts, namely the concept of quality according to Joseph Juran with the Theory Juran trilogy, namely Quality planning, Quality control, Quality improvement and the quality concept according to Deming with Teoi POAC and the management cycle which is the reference in quality assurance activities, namely Plan, Do, Check, Action (PDCA). Meanwhile, efforts to improve or develop the quality of education are carried out on improving the quality of educational institutions and improving the quality of educators by using the following strategies: self-evaluation, self-assessment, formulation of vision and mission, planning, implementation and reporting.Keyword: Model, qualit

Who's Making It: The Academic Achievement of Recent Boston Public School Graduates in the Early College Years

Examines the persistence, progress, and performance of Boston public school graduates in the first two years of college; contributing factors, including academic preparation, colleges' selectivity, and full-time or part-time attendance; and implications

Resourceful leadership: how directors of children’s services improve outcomes for children, full report

Leading for Outcomes is a unique study into senior leadership in children’s services in England, drawing on in-depth primary research with leaders in eight local authorities, and 22 directors of children’s services. The eight local authorities were selected on a range of factors but primarily to represent existing high performers or rapidly improving authorities in terms of outcomes. The research was commissioned by the National College in partnership with C4EO, and completed by a team comprising Deloitte, Navigate and the University of Oxford. The study was completed during 2010. The key concept the Leading for Outcomes research has uncovered is that of the resourceful leader1. This report sets out a definition of resourcefulness and the eight core behaviours of resourceful leaders. It then discusses resourcefulness within three specific contexts that emerged as part of the research: leading change, leading in a time of shock, and managing the corporate and political landscape

Fine-Grained Product Class Recognition for Assisted Shopping

Assistive solutions for a better shopping experience can improve the quality of life of people, in particular also of visually impaired shoppers. We present a system that visually recognizes the fine-grained product classes of items on a shopping list, in shelves images taken with a smartphone in a grocery store. Our system consists of three components: (a) We automatically recognize useful text on product packaging, e.g., product name and brand, and build a mapping of words to product classes based on the large-scale GroceryProducts dataset. When the user populates the shopping list, we automatically infer the product class of each entered word. (b) We perform fine-grained product class recognition when the user is facing a shelf. We discover discriminative patches on product packaging to differentiate between visually similar product classes and to increase the robustness against continuous changes in product design. (c) We continuously improve the recognition accuracy through active learning. Our experiments show the robustness of the proposed method against cross-domain challenges, and the scalability to an increasing number of products with minimal re-training.Comment: Accepted at ICCV Workshop on Assistive Computer Vision and Robotics (ICCV-ACVR) 201

Building Open Educational Resources from the Ground Up: South Africa's Free High School Science Texts

This paper presents a case study of the development of the South African project Free High School Science Texts (FHSST), an initiative to develop a free high school science text for all teachers and learners in South Africa. The goals of the case study were two-fold: to examine and analyze the practices associated with the successes and challenges encountered by FHSST; and to encourage a participatory, analytical process that will assist other open education projects in thinking about and sharing their practices, processes, and strategies. Beyond its implications for South African education, the FHSST project can serve as a model for peer production of open content, offering insights into planning and decision making around 1) recruiting volunteers; 2) sustaining their participation; 3) using technology to create effective workflow; 4) conducting hackathons; and 5) facilitating teacher trials. Findings from this study offers insights into overall approaches and goals that may prove instrumental across open education projects, serving as a reference for development of assessment tools and resources that may assist open education projects in tracking, sharing, and advancing their learnings and success

Universities as Living Labs for sustainable development : a global perspective

Walter Leal Filho, Baltazar Andrade Guerra, Mark Mifsud and Rudi Pretorius use case studies from Brazil, Malta and South Africa to reflect on how the Living Labs approach can contribute towards a more sustainable futurepeer-reviewe