Machine-learning

Explore the history and technical approaches in the quest for Artificial General Intelligence, from early symbolic AI and expert systems to deep learning and probabilistic programming, illustrated by real-world applications like nuclear monitoring.

An analysis of China's DeepSeek R2 model and its impact on the global AI landscape, focusing on efficiency, performance, and release timelines. Examines implications for industry players like Nvidia and OpenAI.

Discover the definitive guide to large language models (LLMs) with the book Large Language Models: A Deep Dive. This comprehensive review explores how the book bridges cutting-edge AI theory with real-world applications, offering unparalleled insights into the latest advancements, practical use cases, and ethical considerations in the field of LLMs.

Breaking down DeepSeek-V3’s revolutionary AI architecture—exploring its key innovations, expert routing, and inference optimizations step by step. This post dives deep into the mathematics and mechanisms that power its efficiency and scalability.

Explore the innovative OctoTools framework, which empowers complex reasoning tasks through its agentic structure and extensible toolset. This post covers its key features and implications for AI development.