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Executive Summary The proliferation of Large Language Models (LLMs) has been constrained by their immense computational and memory requirements, making efficient inference a critical area of research and development. Post-Training 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 …
Section 1: Foundational Principles of Vector Data Management The advent of large-scale artificial intelligence has catalyzed a fundamental shift in how data is stored, managed, and queried. The architectural principles Read More …
The Anatomy of LLM Inference and Its Intrinsic Bottlenecks The deployment of Large Language Models (LLMs) in production environments has shifted the focus of the machine learning community from training-centric 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 I: The Foundational Bridge: Defining Tool Use and Function Calling 1.1 Beyond Text Generation: The Imperative for External Interaction Large Language Models (LLMs) represent a significant milestone in artificial 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 …
Part I: Foundational Principles of Sparse Architectures Section 1: Introduction – The Scaling Imperative and the Rise of Conditional Computation The trajectory of progress in large language models (LLMs) has Read More …
Executive Summary The widespread adoption of large language models (LLMs) has brought a critical challenge to the forefront of inference engineering: managing the Key-Value (KV) cache. While the KV cache Read More …
Executive Summary The proliferation of advanced and widely accessible Artificial Intelligence (AI) has precipitated a paradigm shift in the cybersecurity threat landscape. Generative AI is no longer an incremental enhancement Read More …