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Unless the race is very close, the winner is typically announced on election night. If there is a change in president, the time after the election is known as the transition period. During this time, the new leader selects their team and prepares for the next four years in office. The new president’s term officially begins after the inauguration ceremony, usually held on January 20 of the following year. However, supporters of the Electoral College argue that it ensures that people in less populated areas have an equal say in choosing their leader as those living in densely populated areas. They believe that without this system, presidential candidates would focus only on the most populous states, such as California, New York, and Texas.
What really makes LLM transformers stand out from predecessors such as recurrent neural networks (RNN) is their ability to process entire sequences in parallel, which significantly reduces the time needed to train the model. Plus, their architecture is compatible with large-scale models, which can be composed of hundreds of thousands and even billions of parameters. To put this into context, simple RNN models tend to hover around the 6-figure mark for their parameter counts, versus the staggering 14-figure numbers for LLM parameters. These parameters act like a knowledge bank, storing the information needed to process language tasks effectively and efficiently. Access to the computing resources that power AI systems is prohibitively expensive and difficult to obtain. These resources are increasingly concentrated in the hands of large technology companies, who maintain outsized control of the AI development ecosystem.
In 2022, Micron announced a 20-year, $100 billion investment to create a megafab campus in Central New York, creating 50,000 new direct and indirect jobs and unlocking hundreds of millions of dollars in community benefits. Governor Hochul’s commitment to advancing New York’s leadership in artificial intelligence builds on her broader agenda to expand cutting-edge technology development in the Empire State. The Governor has continued to advance a $620 million Life Science Initiative to support innovation in biomedical research. And through strategic investments like the $113.7 million Battery-NY initiative, Governor Hochul has fueled the growth of the sustainability, green technology, and energy storage economies in New York State.
The selection committee chose Hiott based on her recent research activities in subjects like AI and because of her interests in future research that matches the described expectations of the chair. Lastly, as outlined in previous discussion about weighing the pros of LLMs against their cons, reducing biases and improving ethics in LLMs remains a primary concern. Researchers and developers are working on reducing stereotypes in these models in order to make them more responsible and ethical. On top of this, another essential development will be the update of LLM evaluation frameworks.
Governor Kathy Hochul today announced further steps to secure New York’s place at the forefront ai review of artificial intelligence research. The new SUNY INSPIRE Center will scale AI research and scholarship to advance public good. In addition, select SUNY campuses will create Departments of AI and Society to spur innovation and improve lives. SUNY will also create a new generative AI chatbot program that can be tailored for coursework, research, and student projects.
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Before the election, Trump mentioned that, should he win, he would ask Musk to head the proposed government efficiency commission. He even endorsed a California bill requiring AI developers who invest more than $100 million in building AI models to conduct safety testing and safeguard against cyberattacks. Although the bill passed the state legislature, it was vetoed by Governor Gavin Newsom, who expressed concerns over its potential to disproportionately target larger AI firms while ignoring the risks posed by smaller developers. The petition further stressed on Musk’s dual role as both an entrepreneur and thought leader in AI, citing his efforts to balance technological advancement with safety.