Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...
Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...
New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...
While tech giants lock smaller businesses out of advanced AI, Tether is using localized fine-tuning and P2P networks to democratize superintelligence for billions of people.
Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...
Researchers at Cisco tested several well-known LLMs. They found of them could be tricked into bypassing guardrails, just ...
Asked to 'write a story', ChatGPT and other leading language models appear to be avoiding copyright infringement by obsessive ...
Abstract: The mainstreamTransformer-based Large Language Models (LLMs) have demonstrated to exhibit remarkable performance in various Natural Language Processing (NLP) tasks. However, high ...
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The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: Generative Pre-trained Transformer (GPT) models hallucinate, struggle with ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...
Large language models (LLMs) are the workhorses of AI, supporting ever more sophisticated capabilities and workflows, and approaching near-human level performance. But sometimes more isn’t always ...