Francesco Ramigni (Australian Centre for the Moving Image) presents 'Using machine learning tools to enhance the discovery and access of ACMI video collections' during the Short Talk and Demo session at the Fantastic Futures ai4LAM 2023 annual conference. This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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On January 4, 2024 the Curriculum Services Team delivered a 2-hour webinar titled "Using the Magic of AI to Innovate Professional Learning" to a national audience.  Based on a presentation delivered at the AESA National Conference in December 2023, this webinar was a deeper dive into the ways that the WIU Curriculum Services Team leverages AI to develop professional learning activities to support the school districts in Westmoreland County and beyond.

Mia Ridge (British Library) presents 'What can GLAMs learn from 'Living with Machines'?' during the AI Use Cases session at the Fantastic Futures ai4LAM 2023 annual conference. . This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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Daniel Michaels (National Institute for Newman Studies) presents 'When Documents Talk Back! Using AI to Animate Digital Humanities' during the Short Talks & Demos session at the Fantastic Futures ai4LAM 2023 annual conference. This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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The Northeast OER Summit is a gathering of Open Educational Resources practitioners from the Northeast region of the United States.  Initiated in 2017, the planning committee consists of OER advocates (administrators, librarians, instructional designers, faculty and staff) from the Northeast.  This resource is a session presentation that discusses the intersection of OER and AI.

James Powell, Dylan Johnson, Timothy Mandzyuk, Daniel Waybright, Alex Shocklee, and Nicholas Taylor (Los Alamos National Laboratory) present 'A keyphrase suggestion engine for semi-automated document characterization' during the Short Talk and Demo session at the Fantastic Futures ai4LAM 2023 annual... This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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The LLM course is divided into three parts:
🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks.
🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques.
👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.

The lecture provides an overview of autoregressive language models and how they have evolved from basic count-based approaches to more advanced neural network models. It explains the core concept of predicting the next word in a sequence using previous words and how this has been improved through neural networks that can generalize to unseen examples. The speaker highlights how modern models "compress" and "memorize" patterns from training data, allowing them to make better predictions. Techniques like beam search are also discussed as methods for generating text. While the results of these models can seem magical, the lecture emphasizes that they are built on simple but powerful principles of counting, probability, and compression, drawing on early work in information theory.

The slides can be found here: https://drive.google.com/file/d/1dk3o-fcdH1Y7-rGGqlVR35AZ1CVwz0qi/view

(This summary was generated by asking ChatGPT 4o for a summary of the partial transcript.)

تستكشف الورشة التدريبية الإمكانيات التحولية الهائلة للذكاء الاصطناعي في تعزيز التعليم الشامل وسهل الوصول للجميع. سيتعرف المشاركون في هذه الورشة إلى مجالات تقاطع الذكاء الاصطناعي والتعليم، حيث سيتم التذكير بأساسيات الذكاء الاصطناعي واستخداماته وكيفية الاستفادة منه لتعزيز الشمول والوصول إلى فرص التعليم للجميع. كما تقدم الورشة نظرة عامة على الذكاء الاصطناعي في التعليم من جوانب مختلفة بما في ذلك السياسات، والكفاءات، والتطبيقات، والأدوات، والممارسات، نحو ضمان بيئة تعلم شاملة للجميع بالاستفادة من الإمكانات الكامنة في الذكاء الاصطناعي.

تُعنى هذه الدورة التدريبية بتقديم المفاهيم الأساسية للذكاء الاصطناعي وتطبيقاته في قطاع التعليم. حيث ستزود المشاركين بفهم معمق لأسس الذكاء الاصطناعي وكيفية استثماره في دعم التعليم الشامل وتعزيز مبدأ تكافؤ الفرص التعليمية للجميع دون استثناء.
ستتناول الدورة بشكل مفصل أهم المبادئ والآليات التي يقوم عليها الذكاء الاصطناعي، إلى جانب استعراض أبرز تطبيقاته العملية في المجال التعليمي، وكيف يمكن توظيفها لخلق بيئات تعليمية شاملة وفعالة تلبي احتياجات جميع الطلبة بمختلف قدراتهم.
سيكتسب المشاركون من خلال هذه الدورة المعرفة الكافية لفهم دور الذكاء الاصطناعي وأهميته في تحقيق التعليم الشامل، والاطلاع على أحدث الأدوات والتقنيات المستخدمة في هذا المجال، مما يمكنهم من تطبيقها لاحقًا في بيئاتهم التعليمية الخاصة.