AlphaDeep Publications
Articles & Engineering Insights
Technical guides, architecture whitepapers, and operational blueprints for fine-tuning and serving specialized models on TPUs and GPUs.
Engineering & StrategySample Efficiency
The 100-Example Rule: How Much Data Do You Actually Need to Beat a Frontier API?
Why parameter-efficient LoRA fine-tuning changes the math of sample efficiency, and how 100 to 300 human-verified examples surpass massive generalist models on narrow enterprise tasks.
November 2026•5 min read
Read article Engineering & StrategyHuman-in-the-Loop
The Iterative Improvement Loop: Surviving Data Drift with Full Model Control
Why static models degrade in production, how third-party APIs trap enterprise teams, and how to operate a human-in-the-loop active learning flywheel with AlphaDeep.
October 2026•4 min read
Read article Whitepaper & Case StudyHardware Economics
Model Sovereignty without the Complexity Tax
Why leading enterprises are moving away from proprietary generalist APIs toward owning their fine-tuning loops. Features empirical benchmark comparisons across accuracy, latency, and cost.
Updated March 2026•7 min read
Read article Showing 1 to 3 of 3 articles
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