Some years ago, my linguistic research team and I started to develop a computational tool aimed at reconstructing the text of ...
Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
The potential generative AI in healthcare is enormous. They can generate patient education materials or clinical notes in seconds, flag incomplete documentation to keep care on track, or even suggest ...
AI research lab Lossfunk, started by software company Wingify’s cofounder Paras Chopra, has developed a method that enables large language models to generate text in Tulu, a coastal Karnataka language ...
Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.
Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
Global militaries are desperate to gain an advantage in the escalating AI race, as rapid developments in largescale data analysis, robotics, and large language models increase the effectiveness of ...
A class action accuses Adobe of secretly pulling hundreds of thousands of copyrighted books—including titles scraped from pirate “shadow libraries”—to train its new SlimLM small language models, in ...
A group of YouTubers who are suing tech giants for scraping their videos without permission to train AI models has now added Snap to their list of defendants. The plaintiffs — internet content ...
James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
TL;DR: A lawsuit alleges NVIDIA executives approved partnering with Anna's Archive, a site hosting millions of pirated books and papers, to use its data for training Large Language Models. Internal ...
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