Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...
Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...
Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have demonstrated remarkable capabilities in answering ...
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You can persuade AI models to accept falsehoods as truth, study shows
When you ask a large language model a question, the reply may include falsehoods, and if you challenge those statements with ...
Truthfulness and grounding in reality are part of a larger and more general concern about safe AI models. The very pace of ...
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
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