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Executive Summary Autonomous AI coding agents represent a fundamental paradigm shift in software engineering, moving beyond the augmentation capabilities of earlier AI assistants to a new model of proactive, goal-driven Read More …
The Throughput Imperative in LLM Serving The deployment of Large Language Models (LLMs) in production environments has shifted the primary engineering challenge from model training to efficient, scalable inference. While Read More …
Executive Summary This report charts the critical evolution of Large Language Models (LLMs) from reactive, stateless text predictors into proactive, reasoning agents. It argues that this transformation is achieved by Read More …
Part 1: Foundations of the Modern ML Deployment Stack The transition of a machine learning model from a development environment, such as a Jupyter notebook, to a production system that Read More …
The Criticality of Post-Deployment Vigilance in Machine Learning The deployment of a machine learning (ML) model into a production environment represents a critical transition, not a final destination. Unlike traditional, Read More …
I. The RLHF Paradigm: Foundations and Frontiers The Modern Alignment of Large Language Models (LLMs) with human values and intentions has become a central challenge in artificial intelligence safety and Read More …
Executive Summary Artificial Intelligence (AI) is catalyzing a profound paradigm shift in scientific discovery, moving research and development from a paradigm of serendipitous exploration to one of intentional, predictive design. Read More …
Introduction to Retrieval-Augmented Generation Defining the RAG Paradigm: Synergizing Parametric and Non-Parametric Knowledge Retrieval-Augmented Generation (RAG) is an artificial intelligence framework designed to optimize the output of a Large Language Read More …
The Foundation: The KV Cache as a Double-Edged Sword The advent of Large Language Models (LLMs) based on the Transformer architecture has catalyzed a paradigm shift in artificial intelligence. Central Read More …
The Tyranny of Quadratic Complexity: Deconstructing the Transformer Attention Bottleneck The Transformer architecture, a cornerstone of modern artificial intelligence, is powered by the self-attention mechanism. While remarkably effective, this mechanism Read More …