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Artificial intelligence (AI) agents, particularly those based on large language models (LLMs) like the conversational ...
Abstract: With the global rise of large language models (LLMs) in English as a foreign language (EFL) education, understanding learners’ perceptions and emotions is crucial, especially for AIED ...
Description: Experts argue LLMs won’t be the end-state: new architectures (multimodal, agentic, beyond transformers) will ...
It only takes 250 bad files to wreck an AI model, and now anyone can do it. To stay safe, you need to treat your data pipeline like a high-security zone.
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Semantic brand equity ensures LLMs and AI search engines recommend your business. Our guide reveals how AI perceives and ranks your brand.
AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...
Vitalik Buterin outlines how Ethereum can power secure AI interactions through privacy tools and decentralized economic systems.
The barrage of misinformation in the field of health care is persistent and growing. The advent of artificial intelligence (AI) and large language models (LLMs) in health care has expedited the ...
The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...
Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...