Archive: 2025/12

Energy Efficiency in Generative AI Training: Sparsity, Pruning, and Low-Rank Methods

Energy Efficiency in Generative AI Training: Sparsity, Pruning, and Low-Rank Methods

Sparsity, pruning, and low-rank methods slash generative AI training energy by 40-80% without sacrificing accuracy. Learn how these techniques work, their real-world results, and why they're becoming mandatory for sustainable AI.

Evaluation Protocols for Compressed Large Language Models: What Works, What Doesn’t, and How to Get It Right

Evaluation Protocols for Compressed Large Language Models: What Works, What Doesn’t, and How to Get It Right

Compressed LLMs can look perfect on perplexity scores but fail in real use. Learn the three evaluation pillars-size, speed, substance-and the benchmarks (LLM-KICK, EleutherAI) that actually catch silent failures before deployment.