Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Oil

ML models improve field-level artificial lift

Of the total number of wells globally to use artificial lift, 40% employ sucker rod pumps. Pump optimization generally follows established rules of thumb. More advanced pump features, such as pump off ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
Semiconductor Engineering

When And Where To Implement AI/ML In Fabs

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...
Semiconductor Engineering

Applying Machine Learning To Accelerate TCAD Calibration

TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...