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1. Executive Summary The computational trajectory of Large Language Models (LLMs) has reached a critical inflection point in the 2024-2025 timeframe. For nearly a decade, the industry operated under a Read More …
Executive Summary and Strategic Recommendations The deployment of state-of-the-art Large Language Models (LLMs) is fundamentally constrained by their extreme scale, resulting in prohibitive computational costs, vast memory footprints, and limited Read More …
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 …
The Imperative for Model Compression on Consumer Hardware The field of artificial intelligence is currently defined by the remarkable and accelerating capabilities of Large Language Models (LLMs). These models, however, Read More …