Beyond Scaling: Achieving Frontier-Level AI Through Specialist Orchestration
Year: 2026
Type: article
Abstract: The frontier of artificial intelligence is currently defined by massive monolithic models: GPT-5, Claude Opus 4, Gemini 2.5 Pro, DeepSeek-R1, Grok 3, Llama 4. These models cost $500M–$2B to train and require massive GPU clusters. This paper presents a viable alternative pathway: achieving comparable capability through the orchestrated ensemble of fine-tuned small specialist models (7-8B parameters) on consumer-grade hardware (Apple M2 Ultra, $7K).
Author: Yahya Saqban
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7170645878
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