How would you defend nap?
Why is nap better that any other ethical system? submitted by /u/unholy_anarchist [link] [comments]
Why is nap better that any other ethical system? submitted by /u/unholy_anarchist [link] [comments]
Author(s): Cosmo Q Originally published on Towards AI. Why your next assistant might run entirely on your own hardware. This past Thanksgiving, I set out to build a fully local voice assistant which should listen, think, act, and speak without relying on the cloud service. Why bother? Because today’s mainstream assistants are still tied to the cloud, limited by product rules, and hard to customize. Meanwhile, the AI development in the last two years completely changed what individuals […]
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How companies like Bank of America, Boeing, and Walmart are using virtual reality, augmented reality, and mixed reality to develop employees.
In her new book, The True Gifts of Christmas: Unwrapping the Meaning Behind Our Most Cherished Traditions, TV’s Megan Alexander shares the origin of her love for the Yuletide season and the meaning behind many of its most beloved traditions. Continue Reading…
Even the most capable leaders can unintentionally signal rigidity or complacency.
A new simulation demonstrates how these might work—and how leadership will need to change to succeed with them.
See how different time series methods reveal the shifts, surges, and stabilization in inflation expectations.
Author(s): Manash Pratim Originally published on Towards AI. Stop watching 20 minutes of “Hey guys, welcome back!” just to find one function. I have a confession. Image generated using AIThe article discusses the author’s development of a tool that efficiently extracts code from YouTube coding tutorials by utilizing the hidden transcripts that accompany the videos. The author details the motivation behind creating this tool, the technical stack used, and provides an overview of its efficacy, demonstrating significant time […]
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks. The researchers found that models can mistakenly link certain sentence patterns to specific topics, so an LLM might give a convincing answer by recognizing familiar phrasing instead of understanding the […]