Effect of fission products on tensile strength of UO<sub>2</sub> Σ3 (111)/[1<math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" class="math"><mover accent="true"><mn>1</mn><mo stretchy="true">¯</mo></mover></math>0] and UO<sub>2</sub> Σ11 (1<math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" class="math"><mover accent="true"><mn>1</mn><mo stretchy="true">¯</mo></mover></math>3)/[110] grain boundaries from first-principles study

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Раскрыты подробности о договорных матчах в российском футболе18:01

Matthew Rhys channels Hannibal Lecter in new Netflix thriller

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For implementers, there's no Transformer protocol with start(), transform(), flush() methods and controller coordination passed into a TransformStream class that has its own hidden state machine and buffering mechanisms. Transforms are just functions or simple objects — far simpler to implement and test.。服务器推荐对此有专业解读

В конце прошлого года сообщалось, что Минэкономразвития совместно с деловыми объединениями, Центробанком и Корпорацией малого и среднего предпринимательства (КМСП) создаст рабочую группу по мониторингу за неплатежами госкомпаний в адрес частного бизнеса. Тогда член координационного совета «Деловой России» Алексей Кучмин назвал проблему с ними «системной и очень серьезной».

dust

Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.