AI
ByteDance's release of AIBrix appears to be a significant advancement in the practical application of Large Language Models (LLMs), particularly within enterprise environments. This Kubernetes-based serving stack, specifically designed to augment vLLM, leverages ByteDance's extensive experience deploying LLMs at scale. The project addresses the critical
AI
Recent discourse within the AI community has centered on model distillation, notably fueled by speculation surrounding DeepSeek's R1 model. Distillation, in essence, is a technique whereby the outputs of a large, high-performing model are utilized to train a smaller, more efficient model. This process, exemplified by the
AI
Think about how we learn. We absorb facts, connect them, remember key details, and build a bigger picture over time. Current AI struggles with this. LLMs are good at processing information in front of them, but they have a hard time remembering things from earlier in a long text or
AI
A recent paper from China introduces Sundial, a family of time series models that appears to represent a significant leap forward in time series forecasting. To understand Sundial's potential impact, it's helpful to trace the evolution of this field, which has deep roots stretching back centuries.
AI
The buzz around DeepSeek is undeniable, and for good reason. But the really extraordinary thing isn't some magical new algorithm. It's their clever application and combination of existing techniques. DeepSeek has shown us that there’s still plenty of optimization out there to discover. Their approach
AI
The field of Large Language Model (LLM) application development is a hotbed of innovation, with researchers and engineers constantly developing new software engineering practices and architectural patterns to optimize performance. Retrieval-Augmented Generation (RAG) was a significant early advancement, enabling LLMs to access and integrate external knowledge. However, for long-
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If your LinkedIn feed is anything like mine, you’ll have read a lot about Jevons Paradox over the last few days. This paradox suggests that increasing the efficiency of resource use can sometimes lead to an increase in overall consumption. In the context of AI, this means that even
AI
AI is evolving rapidly, with new models and engineering techniques emerging thick and fast. Recently, a Chinese company called DeepSeek has been making waves, not just for the impressive results they've achieved, but for how they've achieved them. Their approach offers a valuable lesson in innovation,
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The race for subsea cables is heating up globally, and Ireland is finding itself at the center of the action. Recent reports reveal ambitious plans from tech giants like Amazon and Microsoft, highlighting the country’sstrategic importance in the undersea network that powers our digital world. These new projects echo
AI
Throughout 2024, I've had the privilege of engaging with leading experts across the AI landscape, exploring everything from foundational capabilities and emerging infrastructure to application design and ethical considerations. These conversations have significantly shaped my perspective on the future of AI. So, what will AI application architecture look
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This week, I’m on holiday in Ballinskelligs, Co. Kerry, enjoying the stunning views. But beyond the beauty, there’s a hidden story here that shaped history. Last night, RTE’s documentary 𝘛𝘩𝘦 𝘊𝘢𝘣𝘭𝘦 𝘛𝘩𝘢𝘵 𝘊𝘩𝘢𝘯𝘨𝘦𝘥 𝘵𝘩𝘦 𝘞𝘰𝘳𝘭𝘥 highlighted how Valentia Island, just up the coast, became the European terminal for the first transatlantic cable—a