Nakaken What About Deviation Score Quantization Used To
📊 TikTokメディア詳細・統計データ
| 動画タイトル / キャプション: | Quantization used to be a post-training compromise, smaller and faster but at the cost of accuracy. Kimi K2-Thinking flips the script using Quantization Aware Training (QAT) to build native INT4 precision that stays stable even for long chain reasoning and RL. Get used to it, it is the next training paradigm. |
| TikTokクリエイター: | @rajistics |
| 使用音源名: | original sound - rajistics |
| 総再生回数: | 3,260 次回再生 |
| いいね数: | 169 |
| シェア数: | 2 回シェア |
🎵 動画詳細・概要
人気のTikTok投稿 Nakaken What About Deviation Score を紹介します。クリエイター @rajistics (Rajiv Shah | Explaining AI) が共有した動画コンテンツです。これまでに 3,260 回再生、169 いいね、および 2 シェア を獲得しています。
Nakaken What About Deviation Score に関する視聴者やコミュニティの反響・関連投稿まとめ: 投稿者 @nevadaadmission: “No test scores (SAT/ACT) available? No problem! Submit your DSP here: https://unr.az1.qualtrics.com/jfe/form/SV_emJclRtG2oMwGF0”. 投稿 @pumpkinbeomgyumemes: “Standard deviation is a measure that quantifies the amount of variation or dispersion in a set of data values. It essentially tells you how spread out the numbers are from the average value (the mean). A low standard deviation indicates that the data points tend to be close to the mean, while a high standard deviation indicates that the data points are spread out over a wider range. Here’s how it's used in statistics: 1. Measuring Variability: * Standard deviation helps in understanding the spread of data around the mean. It’s a key measure of data variability. 2. Comparing Datasets: * It allows statisticians to compare the variability between different datasets. For example, comparing the consistency of test scores between two different classes. 3. Statistical Significance: * In hypothesis testing, standard deviation is used to assess whether the differences observed in a sample are likely to occur in the broader population. 4. Risk Assessment: * In finance, it's used to measure the volatility of investment returns, helping investors assess the level of risk associated with different investments. 5. Quality Control: * In manufacturing, standard deviation is used to ensure the consistency of product dimensions or characteristics, helping to maintain quality control. Simple Example: Let's say you have two groups of students who took a test. Group A scores: 80, 85, 90, 95, 100 Group B scores: 60, 75, 90, 105, 120 First, calculate the mean (average) for each group: Mean of Group A = (80 + 85 + 90 + 95 + 100) / 5 = 90 Mean of Group B = (60 + 75 + 90 + 105 + 120) / 5 = 90 Next, calculate the standard deviation for each group: Group A: 1. Find the variance (the average of the squared differences from the mean): * Variance = [(80-90)² + (85-90)² + (90-90)² + (95-90)² + (100-90)²] / 5 * Variance = [(-10)² + (-5)² + (0)² + (5)² + (10)²] / 5 * Variance = [100 + 25 + 0 + 25 + 100] / 5 * Variance = 250 / 5 = 50 2. Take the square root of the variance to get the standard deviation: * Standard Deviation = sqrt(50) ≈ 7.07 Group B: 1. Find the variance: * Variance = [(60-90)² + (75-90)² + (90-90)² + (105-90)² + (120-90)²] / 5 * Variance = [(-30)² + (-15)² + (0)² + (15)² + (30)²] / 5 * Variance = [900 + 225 + 0 + 225 + 900] / 5 * Variance = 2250 / 5 = 450 2. Take the square root of the variance to get the standard deviation: * Standard Deviation = sqrt(450) ≈ 21.21 In this example: * Group A has a standard deviation of approximately 7.07. * Group B has a standard deviation of approximately 21.21. Interpretation: The scores in Group A are more tightly clustered around the mean of 90, while the scores in Group B are more spread out. This indicates that Group B has more variability in their test scores compared to Group A. Final Answer: Standard deviation measures the dispersion of data around the mean. In the example, Group A has a standard deviation of approximately 7.07, and Group B has a standard deviation of approximately 21.21, indicating Group B's scores are more spread out.”. クリエイター @yeanswers: “Is your home's 10-star energy rating what it seems? Your Energy Friend explains how Australia's 'Scorecard' system focuses on running costs, not true building efficiency. Watch the full podcast on YouTube @yeanswers”.
Nakaken What About Deviation Score に関するその他のトレンド情報: 投稿者 @kiosque.fr: “145. C’est le seuil de QI à partir duquel on parle de très haut potentiel intellectuel. 🧠📷 📷 Un chiffre au sommet de la courbe Sur l’échelle standard du quotient intellectuel (QI), 100 est la moyenne. Un score de 145 place un individu dans le top 0,1 % de la population. C’est le niveau qu’on appelle THPI, pour « très haut potentiel intellectuel ». 🧠 Un cerveau qui va très vite… mais pas toujours simple à vivre Raisonnement fulgurant, hyperlucidité, créativité hors normes… Les THPI ont souvent une capacité d’analyse et d’anticipation exceptionnelle. Mais ils peuvent aussi souffrir d’ennui à l’école, d’anxiété, ou d’un sentiment de décalage social. Parmi les célébrités, certains ont été identifiés comme THPI. C’est notamment le cas de Matt Damon, Alicia Keys (154) ou encore la chanteuse française Amel Bent 📷 Des profils qui bousculent les idées reçues Non, un QI élevé ne garantit ni la réussite scolaire, ni le bonheur, ni même une carrière brillante. L’environnement, la reconnaissance des particularités cognitives, et l’accompagnement jouent un rôle clé pour éviter l’isolement ou le décrochage. Parmi les célébrités, certains ont été identifiés comme THPI, Matt Damon, avec un QI de 160, Alicia Keys (154) ou encore la chanteuse française Amel Bent @ 📷 À demain pour un nouveau chiffre qui raconte notre monde ! 📷 Abonne-toi pour ta dose quotidienne de science, d’histoire et de curiosités. 📷📷”. クリエイター @coachdsk: “It's the El-classico 2024🔥❤️ Who is winning this?”. ユーザー @cappp1111: “My client had one negative account reporting on his credit which was holding his credit back. We were able to get his derogatory marks removed and his credit went up 154 points. Now he is able to leverage his credit and get 50k-100k in funding.”.
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投稿者 @rajistics の動画説明文: "Quantization used to be a post-training compromise, smaller and faster but at the cost of accuracy. Kimi K2-Thinking flips the script using Quantization Aware Training (QAT) to build native INT4 precision that stays stable even for long chain reasoning and RL. Get used to it, it is the next training paradigm."。この動画は現在トレンド中の Nakaken What About Deviation Score の関連コンテンツです。
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