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1. Introduction: The Industrialization of RAG The deployment of Large Language Models (LLMs) in enterprise environments has transitioned from a phase of experimental novelty to one of critical infrastructure development. Read More …
Part I: The Paradox of Long Contexts: Expanding Windows, Diminishing Returns The field of Large Language Models (LLMs) is in the midst of a profound architectural transformation, characterized by a Read More …
Part I: The Foundational Challenges of LLM Inference The rapid ascent of Large Language Models (LLMs) from research curiosities to production-critical services has precipitated an equally rapid and necessary evolution Read More …
Section 1: The Imperative for Automated Prompt Optimization (APO) The advent of large language models (LLMs) has marked a paradigm shift in artificial intelligence, moving the locus of model control Read More …
Part 1: The Customization Triad: A Strategic Framework for LLM Adaptation 1.1 Introduction: Deconstructing the “vs.” The customization of Large Language Models (LLMs) is frequently framed as a choice between Read More …
Section 1: The MLOps Foundation: Principles of Modern Machine Learning Operations The discipline of Machine Learning Operations (MLOps) emerged as a critical response to the challenges of moving machine learning Read More …
Executive Summary The advent of Large Language Models (LLMs) represents a paradigm shift in artificial intelligence, moving from specialized, predictive models to general-purpose, generative platforms. This transition necessitates a corresponding Read More …
Executive Summary This report argues for an imminent and fundamental paradigm shift in software integration. The current model, defined by rigid, contract-based Application Programming Interfaces (APIs), is reaching its architectural Read More …
The LLM Customization Spectrum: Core Principles and Mechanisms The deployment of Large Language Models (LLM) within the enterprise marks a significant technological inflection point. However, the true value of these Read More …
Section 1: Introduction: The Quest for Deliberate Reasoning in Language Models 1.1 The Limitations of Autoregressive Generation for Complex Problems Large Language Models (LLMs) have demonstrated remarkable capabilities in generating Read More …