News | Joshua Berkowitz

4 Articles

AI efficiency ×

Speculative Cascades: The Hybrid Solution Driving Smarter, Faster LLM Inference

As user expectations and AI adoption soar, delivering fast, cost-effective, and high-quality results from LLMs has become a pressing goal for developers and organizations alike. Speculative cascades a...

AI efficiency AI optimization cascades language models LLM inference machine learning speculative decoding

Sep 21, 2025

0 4521

MIT is Making Large Language Model Training Affordable: Insights from AI Scaling Laws

Training large language models (LLMs) requires immense computational resources and significant financial investment. For many AI researchers and organizations, predicting model performance while keepi...

AI efficiency AI research budget optimization LLM training machine learning model evaluation scaling laws

Sep 19, 2025

0 1320

Speculative Cascades: Unlocking Smarter, Faster LLM Inference

Large language models (LLMs) are transforming digital experiences, but their impressive capabilities often come at the cost of slow and expensive inference. As businesses and users expect faster, more...

AI efficiency cascades cost-quality tradeoff hybrid models language models LLM inference speculative decoding

Sep 14, 2025

0 7227

Dynamic Node Pruning: Improving LLM Efficiency Inspired by the Human Brain

As artificial intelligence continues to scale, large language models (LLMs) face mounting challenges in computational cost and energy usage. But what if these models could intelligently activate only ...

AI efficiency deep learning dynamic pruning LLM model optimization neural networks sustainability

Aug 25, 2025

0 3894

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