Large language models often generate false or unsubstantiated outputs, known as "hallucinations", which prevent their adoption in critical domains. This work proposes a general method to detect a subset of hallucinations, called "confabulations", by estimating the semantic entropy of model outputs.
A simple observation of an ant emerging from under the skin prompts deeper contemplation on the nature of perspective, distance, and memory.
Google's powerful AI language model was easily fooled by satirical health advice, highlighting the challenges of developing AI systems that can reliably distinguish fact from fiction.
Applying natural language processing techniques to analyze sentiment in speech data can provide valuable insights for diverse industrial applications.
雪の減少は、地上から海への水の流れ方の季節変化に大きな影響を及ぼす。
Optimizing user queries is crucial for high-quality answers in Retrieval Augmented Generation (RAG) applications, as unclear or non-specific queries can negatively impact document retrieval performance.
ChatGPT 이전 시대의 챗봇 프레임워크에서 의도 감지는 개발자가 명시적으로 프로그래밍한 주제에만 응답하도록 하여 의도된 용도에 충실하게 하고 프롬프트 주입을 방지했다. 그러나 이러한 접근법은 새로운 의도를 신속하게 학습하기 어려웠다. 이 문서에서는 SetFit, FastFit, Semantic Router와 같은 최신 NLP 기술을 비교하여 가장 효과적인 소수 샷 의도 감지 알고리즘을 찾는다.
OpenAI's new GPT-4o model can understand and mimic human speech and emotion, enabling users to develop intense, even romantic relationships with the AI system.
This paper proposes an integrated system that combines automated writing evaluation (AWE) and grammatical error correction (GEC) to provide language learners with comprehensive feedback and assessment, facilitating their writing skill development.
There is a significant discontinuity in the language and style of State of the Union addresses before and after the late 1920s, suggesting a fundamental shift in the nature of American governance and politics.