The 100 Best, Worst, and Strangest Sherlock Holmes Portrayals of All-Time, Ranked
The 100 Best, Worst, and Strangest Sherlock Holmes Portrayals of All-Time, Ranked Once you eliminate the least compelling Sherlock Holmes performances, whatever remains, no matter how improbable, must be the best. We’re ranking Sherlock Holmes performances. One hundred of them. Not Sherlock Holmes adaptations, but the representations within them of Sherlock Holmes himself. Now, you might think tha
GitHub - diff-usion/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models
A Survey on Video Diffusion Models Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu and Yu-Gang Jiang arXiv 2023. [Paper] 16 Oct 2023 State of the Art on Diffusion Models for Visual Computing Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, B
English | Chinese (simplified) 简体中文 | Chinese (traditional) 繁體中文 | Japanese 日本語 | Korean 한국어 Letter by Concerned Economists Regarding “Contracting for Sex in the Pacific War” in the International Review of Law and Economics Please click here to sign this letter Frequently Asked Questions and More resources Statements by Al Roth and Paul Milgrom, Pinelopi Goldberg, Roger Noll, the twelve editors of
Prompt engineering is the process of structuring text that can be interpreted and understood by a generative AI model.[1][2] A prompt is natural language text describing the task that an AI should perform.[3] A prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem?",[4] a command such as "write a poem about leaves falling",[5] or a longer statement includ
プロンプトエンジニアリング - Wikipedia
プロンプト・エンジニアリング（英: prompt engineering）は、主に「テキストからテキスト」型言語モデルとのコミュニケーションで使用され、生成的人工知能（生成AI）モデルが解釈し、理解できるように指示文章を構造化する過程である[1][2]。プロンプト・エンジニアリングは、「プロンプトから一時的に学習するモデルの能力」として定義されるコンテキスト内学習（in-context learning）によって可能となる。コンテキスト内学習の能力は、大規模言語モデル（LLM）の創発的能力である[3]。 プロンプト（prompt）とは、人工知能（AI）が実行すべきタスクを記述した自然言語によるテキスト（文章）のことである[4]。「テキストからテキスト」モデルのプロンプトは、「フェルマーの小定理とは何か」といったクエリ（問い合わせ）[5]、「落ち葉についての詩を書け」といった命令[6]、短い
Recognition of aerosol transmission of infectious agents: a commentary - BMC Infectious Diseases
Review Open Access Published: 31 January 2019 Recognition of aerosol transmission of infectious agents: a commentary Raymond Tellier1, Yuguo Li2, Benjamin J. Cowling3 & …Julian W. Tang4,5 Show authors BMC Infectious Diseases volume 19, Article number: 101 (2019) Cite this article Although short-range large-droplet transmission is possible for most respiratory infectious agents, deciding on whether
GitHub - hanjuku-kaso/awesome-offline-rl: An index of algorithms for offline reinforcement learning (offline-rl)
Value-Aided Conditional Supervised Learning for Offline RL Jeonghye Kim, Suyoung Lee, Woojun Kim, and Youngchul Sung. arXiv, 2024. Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, and Pheng-Ann Heng. arXiv, 2024. DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Traj
A strip of eight PCR tubes, each containing a 100 μL reaction mixture Placing a strip of eight PCR tubes into a thermal cycler The polymerase chain reaction (PCR) is a method widely used to make millions to billions of copies of a specific DNA sample rapidly, allowing scientists to amplify a very small sample of DNA (or a part of it) sufficiently to enable detailed study. PCR was invented in 1983
111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen
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Letter by Concerned Economists Regarding “Contracting for Sex in the Pacific War” in the International Review of Law and Economics
Prompt engineering - Wikipedia
Polymerase chain reaction - Wikipedia
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT