A presentation by Thomas G. Dietterich, emeritus professor of computer science at Oregon State University, a pioneer of the field of machine learning. “This talk will review these shortcomdifferentings and current efforts to address them within the existing LLM framework. […]
“Large language models enable fracking of documents. Historically, extracting value from unstructured text files has been difficult. But LLMs do this beautifully, pumping value from one of the hardest places to mine.” ~ learn more
“To be blunt, a lot of that [LLM] hype is just some demo bullshit that would fall over the instant anyone tried to use it for a real task that their job depends on. The reality is far less glamorous: […]
I suspect “emergence” will continue to be a dominant force in human progress in this century. Seems like a safe benefit since it’s also responsible for, well, pretty much everything. “A raft of researchers, detecting the first hints that LLMs […]
“But using these LLMs in isolation is often not enough to create a truly powerful app – the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in […]
The author compares the coming change to that of lawyers’ salaries in the 1990s due to the rise of the Internet. ~ learn more