Some models resist the formatting, length, or tone modifiers we give them. But what if that's not a bug, but a feature we can work around? Context and Purpose In recent experiments, we explored how prompt modifiers influence the length, style, and st...
If you only consume AI tools without understanding their core principles, you’re just repeating patterns—not creating new ones. AI is more than just throwing words at the latest version of ChatGPT or any other tool that emerges—and they will continue...
在不斷發展的人工智慧領域中，阿里雲最近推出的 QwQ-32B 模型是一個重要的里程碑。儘管僅擁有320億個參數，這個創新的大型語言模型（LLM）表現卻相當出色，甚至超越了像 DeepSeek-R1 這樣擁有驚人6710億參數的巨型模型。 效能與強大的完美結合 QwQ-32B 最大的特點之一是其卓越的效能。相較於其他需要大量計算資源的模型，QwQ-32B 能以較少的硬體需求實現頂尖的效能。這種效率使其特別適合本地部署，能夠達到與 DeepSeek-R1 相同的便捷性和效果。 QwQ-32B 的創...
In the realm of artificial intelligence, we are witnessing one of the most remarkable feats of technological rebranding in history—though not for the reasons commonly celebrated. The transformer architecture, fundamentally unchanged since its 2017 in...
Introduction While the Latent Program Network (LPN) presents a powerful new approach to program synthesis and reasoning, scaling it to larger, more complex tasks introduces significant challenges. Generalization beyond training tasks remains a key go...
Introduction One of the fundamental questions in machine learning is how models generalize from observed data to unseen examples. In AI research, this is often framed in terms of induction vs. transduction—two distinct paradigms for learning and reas...
Introduction Despite the remarkable success of deep learning models, particularly large neural networks and pre-trained language models (LLMs), significant challenges arise when applying these architectures to program synthesis and abstract reasoning...
The Abstraction and Reasoning Corpus (ARC) benchmark presents one of the most significant challenges in artificial intelligence today: assessing a model’s ability to generalize to truly novel tasks. Unlike traditional machine learning benchmarks, whi...
Introduction 👋 DeepSeek AI's recent paper, DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning[1], has quickly become a hot topic in the AI world, and for good reason! In this paper, DeepSeek introduces their new reaso...
Introduction This article provides a detailed examination of various GPU configurations for running DeepSeek models, with a focus on cost, performance (measured in tokens per second, or tps), and operational considerations. The analysis covers models...
