It's Friday evening and you are probably sitting down with your favorite take-out meal or are preparing to go out for dinner. To add to the enjoyment of your end-of-week relaxation time, Turner Business is now providing a new occasional series for Friday evenings called Asking Google AI. Tonight we are asking Google AI the following question: How much money do universities pay search firms for conducting searches for business deans? Below is an image of Google AI's thorough response. As explained by Google AI, universities typically pay executive search firms between $60,000 and $250,000+ to conduct a search for a business school dean. As it adds, the exact amount is highly variable because it depends on the university's prestige, whether it is public or private, and the fee model used by the firm. Based on the first two of these, CSU likely paid closer to the low end of the above continuum. CSU also almost certainly agreed to a fixed flat-fee model, where fees range from...
TSYS School Research Team of Yi Zhou, Prudhvi Raj Nelapatla and Elijah Starkey Critically Review Research on Large Language Models
A new study by TSYS School computer scientist Yi Zhou and TSYS School students Prudhvi Raj Nelapatla and Elijah Starkey asserts that the rapid growth of large language models has made training energy efficiency a major systems and sustainability challenge. As they explain, training requires substantial computation, memory, communication, and electrical energy, yet the literature often treats runtime, floating-point operations, memory, communication, cost, energy, and carbon as inter changeable indicators of efficiency. To examine these issues, the trio of researchers critically reviewed 54 research papers and one supporting software tool across measurement and carbon accounting, model and numerical efficiency, memory and communication, distributed planning, GPU power con trol, carbon-aware scheduling, lifecycle design, and reliability. They classified evidence as direct, modeled, simulated, reported-comparison, or enabling, while they in...