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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DeepSeek and the AI Hardware Market: A Disruptor or Just Another Competitor?

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The AI hardware market is rapidly evolving, driven by the increasing complexity of AI workloads. DeepSeek, a new large-scale AI model from China, has entered the scene, but its impact on the broader AI landscape remains an open question. Is it simply a competitor to OpenAI’s ChatGPT, or does it have wider implications for inferencing, […]

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DeepSeek: Shaping the Future of AI Amidst Challenges and Constraints

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The unveiling of DeepSeek elicited an electrifying yet disruptive market response. Although industry leaders lauded it as a revolutionary accomplishment, its effect on the technology sector was prompt and profound. The disclosure erased billions from the market capitalisation of conventional AI firms as investors hurried to adjust their expectations. DeepSeek’s sophisticated functionalities indicated a profound […]

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