Understanding Different Learning Methods in AI

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Artificial Intelligence (AI) has transformed the way we interact with technology, enabling automation, decision-making, and predictive analytics across various industries. At the core of AI development are different learning methodologies that dictate how models learn from data. In this blog, we will explore the key learning methods used in AI, their typical applications, how they […]

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Why RAG is Important vs Fine-Tuning and Training

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In the swiftly changing realm of artificial intelligence, companies are pursuing the most effective methods to optimise Large Language Models (LLMs) for their specific needs. Although conventional techniques like fine-tuning and comprehensive training are prevalent, Retrieval-Augmented Generation (RAG) is developing as a more efficient and pragmatic alternative. This essay will examine the significance of RAG, […]

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Unraveling Transformer Neural Networks: The Engines Powering Advanced AI

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Transformers. A phrase typically associated with innovative language models like OpenAI’s GPT-series or Google’s BERT, which you may have heard of if you keep up with the latest developments in machine learning and artificial intelligence. But what exactly are Transformer models, and how did they come to play such a significant role in contemporary AI? […]

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