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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 …
Executive Summary Artificial intelligence (AI) is catalyzing a paradigm shift in medical diagnosis, moving the field from a largely experience-based art toward a data-driven science. This report provides a comprehensive Read More …
Generative AI is a new and powerful technology that is poised to revolutionize the way we create content. It is a type of AI that can generate new creative assets, Read More …
Introduction Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It encompasses a range of techniques and algorithms that Read More …