On-Device LLM Frameworks 2026: MLX vs. TFLite vs. Core ML
Explore On-device LLM Frameworks Comparison 2026: MLX, TFLite, & Core ML. Discover why local inference is crucial for AI's future.
Chapter 1: The Dawn of On-Device LLMs: Why Local Inference Matters in 2026 The year is 2026, and the landscape of artificial intelligence has shifted dramatically. While cloud-based Large Language Models (LLMs) continue to push the boundaries of capability and scale, a parallel revolution has quietly been brewing: the rise of on-device LLMs. This isn't just a niche application anymore; it's a fundamental change in how we conceive, deploy, and interact with AI. The move towards local inference is no longer a luxury but a necessity, driven by a confluence of technological advancements, evolving user expectations, and critical societal demands....