Model Scaling - Edgentiq

The Prompting Inversion: How AI Capabilities Reshape Effective Prompt Strategies

ScaleNet: An Efficient Approach to Expanding Vision Transformer Models

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HiLoMoE: A Hierarchical Approach to Efficiently Scale Click-Through Rate Models

Unifying Audio Representation Scaling Laws with Embedding Effective Rank

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Data Quality, Not Just Quantity, Shapes AI Robustness

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Unmasking AI: Evaluation Awareness Grows Predictably with Model Scale

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Unpacking AI Optimizer Performance: Why Fair Benchmarking Reveals Modest Gains

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Advancing sEMG Interfaces with Scaled and Distilled Transformer Models

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Unpacking How Large Language Models Align with Bayesian Reasoning

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Gen AI News and Updates

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The Prompting Inversion: How AI Capabilities Reshape Effective Prompt Strategies

October 28, 2025

ScaleNet: An Efficient Approach to Expanding Vision Transformer Models

October 22, 2025

Optimizing Large Language Model Training: A New Approach to Hyperparameter Scaling

October 20, 2025