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比特币现货ETF申请最终在当地时间1月10日获得SEC批准。此次获批的11只比特币现货ETF的发行机构为:Grayscale、Bitwise、Hashdex、iShares、Valkyrie、Ark 21Shares、Invesco Galaxy、VanEck、WisdomTree、Fidelity、Franklin。
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personal contract purchase (PCP) plans
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- Neo QLED 8K SAMSUNG
- Ballie an ai robot companion
autonomously navigates throught the home; Projects visuals on the wall or floor; Controls IoT devices to manage household tasks; Monitors pets and loved ones adn sends alerts to users in the event of an emergency
- Bespoke Jet Bot Combo
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Samsung Electronics today announced its earnings guidance for the fourth quarter of 2023.
- Consolidated Sales: Approximately 67 trillion Korean won
- Consolidated Operating Profit: Approximately 2.8 trillion Korean won
The above estimates are based on K-IFRS. Please note that Korean disclosure regulations do not allow earnings estimates to be offered as a range. To comply with such regulations, the above figures represent the median of the estimate ranges provided below.
- Sales: 66 trillion to 68 trillion Korean won
- Operating Profit: 2.7 trillion to 2.9 trillion Korean won
※ 2023 3Q and 2022 4Q consolidated figures based on K-IFRS are as follows
(in trillion won) | 2023.3Q | 2022.4Q |
Sales | 67.40 | 70.46 |
Operating profit | 2.43 | 4.31 |
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“The study findings are inconsistent with plasma volume expansion wholly accounting for lower gestational vitamin concentrations. •In the setting of advocacy for more sustainable diets that are likely to be less nutrient dense, the findings suggest aneed to reappraise dietary recommendations for preconception and pregnancy and to consider further the role of multiple micronutrient supplements in women living in higher-income countries.” (pdf) (Godfrey 等, 2023, p. 3) 🔤该研究结果与血浆容量扩张完全解释了较低的妊娠期维生素浓度不一致。•在倡导更可持续的饮食的背景下,这些发现表明需要重新评估孕前和怀孕期间的饮食建议,并进一步考虑多种微量营养素补充剂在高收入国家妇女中的作用。🔤
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We demonstrate that GPT-4 represents a jump in that arena too with respect to previous LLMs, even when compared to specially fine-tuned for math models such a Minerva. fr. https://arxiv.org/abs/2303.12712 <Sparks of Artificial General Intelligence: Early experiments with GPT-4> (4 Mathematical abilities) source
In “Solving Quantitative Reasoning Problems With Language Models”, we present Minerva, a language model capable of solving mathematical and scientific questions using step-by-step reasoning. We show that by focusing on collecting training data that is relevant for quantitative reasoning problems, training models at scale, and employing best-in-class inference techniques, we achieve significant performance gains on a variety of difficult quantitative reasoning tasks. Minerva solves such problems by generating solutions that include numerical calculations and symbolic manipulation without relying on external tools such as a calculator. The model parses and answers mathematical questions using a mix of natural language and mathematical notation. Minerva combines several techniques, including few-shot prompting, chain of thought or scratchpad prompting, and majority voting, to achieve state-of-the-art performance on STEM reasoning tasks.
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