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TORRENT

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Torrenting In simple terms, torrenting is  downloading and sharing files  directly with other users online through a peer-to-peer (P2P) networking system called the BitTorrent protocol . Instead of pulling the whole file from a central server, users exchange small pieces with each other until everyone has the complete file. Just like with a non-digital torrent of water, if a group of people needs to move water quickly, they form a human chain and pass buckets along. Torrenting works the same way. If 100 people want a movie, a traditional server would send it to each person individually. With torrenting, everyone contributes, with people sharing smaller pieces with one another, lightening the load and speeding up the process. To fully understand torrenting, it’s important to get your head around these key terms: Torrent files:  These don’t contain the content itself, but act like maps. They tell your BitTorrent client (software such as uTorrent ) where to find t...
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ACCELERATED COMPUTING

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  ACCLERATED  COMPUTING In the contemporary digital landscape, the need for high-performance computing has become indispensable across industries. From artificial intelligence (AI) and big data analytics to climate modeling and genomic research, the demand for computational power is surging exponentially. Accelerated computing has emerged as a groundbreaking paradigm, redefining how computational tasks are processed and executed. By leveraging specialized hardware and software, accelerated computing addresses the limitations of traditional computing systems, paving the way for unprecedented levels of speed, efficiency, and scalability. Understanding Accelerated Computing : Accelerated computing refers to the use of specialized hardware, such as Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Tensor Processing Units (TPUs), alongside optimized software frameworks, to perform complex and data-intensive tasks more efficiently than general-purpose Cen...
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CLOUD AUTOMATION AND DEVELOPMENT OPERATIONS

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Cloud Automation and DevOps In today’s fast - paced digital world , businesses are under constant pressure to deliver high - quality software and services at an unprecedented speed . To meet this demand , two significant paradigms have emerged : DevOps and Cloud Automation  . Together , they form a powerful combination that drives efficiency , scalability , and agility in IT operations. What is DevOps ? DevOps is a cultural and technical movement that emphasizes collaboration between development (Dev) and operations (Ops) teams to streamline the software development lifecycle (SDLC) . Its core principles include automation, continuous integration, continuous delivery (CI/CD), and monitoring . Key Principles of DevOps : Collaboration and Communication : Breaking down silos between development, operations, and other stakeholders. Automation : Automating repetitive tasks such as testing, deployment, and monitoring. Continuous Feedback : Incorporating real-time feedback loops to impr...
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MAKING OF CHATGPT

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  MAKING OF CHATGPT History and Making of ChatGPT Background and Development 1. Evolution of AI and NLP: The development of ChatGPT is a part of the broader evolution of artificial intelligence ( AI ) and natural language processing ( NLP ) . Early AI research in the mid - 20th century focused on symbolic AI and rule-based systems . The shift towards machine learning, especially deep learning , started in the late 2000s, leveraging large datasets and significant computational power . 2. Introduction of Transformers: The transformer model, introduced by Vaswani et al. in 2017, revolutionized NLP. The paper titled "Attention is All You Need" proposed a new architecture that significantly improved the performance of various NLP tasks. Transformers use self-attention mechanisms to weigh the importance of different words in a sentence, allowing for better context understanding. 3. Generative Pre-trained Transformer (GPT): OpenAI developed the Generative Pre-trained Transformer (GP...
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Location: India
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