Introduction Large-language-model (LLM) applications live and die by the context they can reach. Anthropic’s Model Context Protocol (MCP) answers the “plumbing” problem: instead of bespoke APIs or brittle screen-scraping, it offers a USB-C-style standard that lets hosts (IDEs, chat apps, agents) plug into servers that expose data, tools, or both. This framework was launched publicly…
Introduction Industrial maintenance is a critical component in the operations of sectors like petroleum refining and mineral mining. These industries rely heavily on complex and powerful machinery, for instance a 25,000 HP FCC Offgas Compressor is a pivotal piece of rotating equipment in a petroleum fuels refinery. We will consider a hypothetical application of the…
Introduction The generative artificial intelligence (AI) domain intersects with multiple data types, including text, images, audio, and more. This emerging field leverages the complexity and richness of the real world, transforming how machines understand and generate multimedia content. Generative AI, historically rooted in unimodal systems handling a single data type, has evolved. Classic examples like…
Introduction In the rapidly evolving field of artificial intelligence (AI), aligning Large Language Models (LLMs) with human values and preferences is a paramount challenge. As these models become increasingly powerful and integrated into various aspects of daily life, ensuring they act in ways that are beneficial and aligned with human intentions is crucial. One promising…
Abstract: Recent advancements in AI have led to the development of large reasoning models (LRMs) that transcend traditional reasoning methodologies. The introduction of the Chain of Continuous Thought (COCONUT) represents a pivotal shift from discrete token-based reasoning to continuous latent space reasoning. Despite the innovation of models like COCONUT, the foundation laid by naive CoT…
Abstract Group Relative Policy Optimization (GRPO) stands out as a remarkable advancement in reinforcement learning (RL), providing a specialized approach that has significantly enhanced the reasoning performance of DeepSeek-R1. Moreover, ongoing references suggest that the soon to be released DeepSeek-R2 may build upon similar methodologies to achieve further improvements. By examining the foundations of GRPO,…
