Usamah Sedqi Al-Baik أسامة صدقي البيك

Abstract The emergence of digital technologies has irrevocably changed the landscape of information storage, access, and preservation. While digital storage systems offer unparalleled convenience and accessibility, they also suffer from inherent vulnerabilities tied to technological obsolescence and the precarious nature of online platforms. This paper elaborates on these challenges by exploring the shift from traditional to digital means of storage and the increased dependency on Internet-based services. It further underscores the urgency for implementing effective digital preservation strategies, particularly for data with significant historical, social, or legal importance. Introduction The past few decades have witnessed an overwhelming shift from traditional tangible means of information storage, like paper, to digital platforms. While paper and other physical media offer long-term storage capabilities spanning centuries, digital media frequently depend on spec...

The primary objective of generative AI language models, such as large language models (LLMs), is to assist users in generating text that closely resembles human writing based on the input they receive. While the application of such AI tools like ChatGPT in educational settings can spark debate, it's crucial to weigh both the advantages and disadvantages. The Double-Edged Sword of AI in Education Generative AI tools offer a range of benefits, including aiding students in enhancing their writing and linguistic skills. They can also serve as a valuable resource for educators, streamlining the grading process for written assignments. However, these tools also pose ethical concerns, such as the potential for cheating and the risk of hindering students' development of authentic writing skills. Guidelines for Implementing Generative AI in Classrooms For those contemplating the integration of generative AI tools in educational environments, the following recomm...

With the rise of LLMs (Large Lagugage Models) like ChatGPT and the potential introduction of LLMaaS (Large Language Models as a Service); Gamers should not worry about large language models like ChatGPT taking over their graphics cards. LLMs require server-grade GPUs for their training, which are not the same as consumer-grade GPUs used for gaming. LLMaaS is also likely to become the norm, with cloud services providing server farms full of GPUs for machine learning algorithms. However, the rise of ChatGPT could potentially lead to fewer consumer GPUs being made by companies like Nvidia, as server-grade GPUs are more profitable. This may lead to AMD becoming the default card maker for gamers while Nvidia focuses on server GPUs. Nonetheless, there will still be consumer-grade graphics cards available for gamers, just not as many Nvidia cards as before. #artficialintelligence #llm #chatgpt #gpu #gamers Originally published in the VerbionPulse newsletter on LinkedIn: GPU’s, dem...

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