Researcher seeks SLM paper collaborators

The "bigger is better" era is yielding to a "smarter is better" paradigm where SLM research is the most accessible frontier for independent labs and individual developers.

• –Compute Democratization: Researching models under 7B parameters requires significantly less VRAM, allowing innovation to happen outside of Big Tech's massive GPU clusters.
• –Edge AI Demand: The rise of local inference on mobile and desktop platforms has created a high-demand market for specialized, low-latency SLM architectures.
• –Data over Scale: Breakthroughs like Microsoft's Phi series prove that high-quality synthetic "textbook" data can make small models outperform those ten times their size.
• –Strategic Collaboration: Joint publishing serves as a critical bridge for researchers targeting "extraordinary ability" visa pathways (O-1/EB-1A) while advancing the state of efficient AI.