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Edit "attention (hebrew)" by @davidBar-On (#547)
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{ | ||
"translatedText": "מבטל תשומת לב עצמית, ריבוי ראשים ותשומת לב צולבת.", | ||
"input": "Demystifying self-attention, multiple heads, and cross-attention.", | ||
"translatedText": "הסרת המסתורין מעל מיקוד עצמי (self-attention), ריבוי ראשים ומיקוד צולב.", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "במקום קריאת מודעות ממומנות, שיעורים אלה ממומנים ישירות על ידי הצופים: https://3b1b.co/support", | ||
"input": "Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support", | ||
"translatedText": "במקום קריאת מודעות ממומנות, שיעורים אלה ממומנים ישירות על ידי הצופים: https://3b1b.co/support", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "צורת תמיכה בעלת ערך לא פחות היא פשוט לשתף את הסרטונים.", | ||
"input": "An equally valuable form of support is to simply share the videos.", | ||
"translatedText": "צורת תמיכה בעלת ערך לא פחות היא פשוט לשתף את הסרטונים.", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "משאבים נוספים על שנאים", | ||
"input": "Other resources about transformers", | ||
"translatedText": "משאבים נוספים על טרמספורמרים", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "הסרטונים של אנדריי קרפטי", | ||
"input": "Andrej Karpathy's videos", | ||
"translatedText": "הסרטונים של Andrej Karpathy", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "The Transformer Circuits פוסטים מאת Anthropic", | ||
"input": "The Transformer Circuits posts by Anthropic", | ||
"translatedText": "פוסטים על מעגלי טרנספורמר מאת Anthropic", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "https://transformer-circuits.pub/2021/framework/index.html", | ||
"input": "https://transformer-circuits.pub/2021/framework/index.html", | ||
"translatedText": "https://transformer-circuits.pub/2021/framework/index.html", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "בפרט, רק לאחר שקראתי את הפוסט הזה התחלתי לחשוב על השילוב של מטריצות הערך והפלט כעל מפה משולבת בדרג נמוך ממרחב ההטמעה אל עצמה, מה שלפחות במוחי, עשה הרבה דברים. ברור יותר ממקורות אחרים.", | ||
"input": "In particular, it was only after I read this post that I started thinking of the combination of the value and output matrices as being a combined low-rank map from the embedding space to itself, which, at least in my mind, made things much clearer than other sources.", | ||
"translatedText": "בפרט, רק לאחר שקראתי את הפוסט הזה התחלתי לחשוב על השילוב של מטריצות הערך והפלט כעל מיפוי משולב בדרג נמוך ממרחב השיכון אל עצמו, מה שלפחות אצלי, עשה הרבה דברים ברורים יותר מאשר ממקורות אחרים.", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "היסטוריה של מודלים לשפות מאת בריט קרוז, @ArtOfTheProblem ", | ||
"input": "History of language models by Brit Cruise, @ArtOfTheProblem ", | ||
"translatedText": "היסטוריה של מודלים לשפות מאת Brit Cruise, @ArtOfTheProblem ", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "https://youtu.be/OFS90-FX6pg", | ||
"input": "https://youtu.be/OFS90-FX6pg", | ||
"translatedText": "https://youtu.be/OFS90-FX6pg", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "מהו מודל שפה מאת @vcubingx ", | ||
"input": "What is a Language Model by @vcubingx ", | ||
"translatedText": "מהו מודל שפה מאת @vcubingx ", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "https://youtu.be/1il-s4mgNdI?si=XaVxj6bsdy3VkgEX", | ||
"input": "https://youtu.be/1il-s4mgNdI?si=XaVxj6bsdy3VkgEX", | ||
"translatedText": "https://youtu.be/1il-s4mgNdI?si=XaVxj6bsdy3VkgEX", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "אתר עם תרגילים הקשורים לתכנות ML ו-GPTs", | ||
"input": "Site with exercises related to ML programming and GPTs", | ||
"translatedText": "אתר עם תרגילים הקשורים לתכנות ML ו-GPTs", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "https://www.gptandchill.ai/codingproblems", | ||
"input": "https://www.gptandchill.ai/codingproblems", | ||
"translatedText": "https://www.gptandchill.ai/codingproblems", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "מאמר מוקדם על האופן שבו יש משמעות להנחיות בהטמעת חללים:", | ||
"input": "Early paper on how directions in embedding spaces have meaning:", | ||
"translatedText": "מאמר מוקדם על האופן שבו לכיוונים במרחבי שיכון יש משמעות:", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "https://arxiv.org/pdf/1301.3781.pdf", | ||
"input": "https://arxiv.org/pdf/1301.3781.pdf", | ||
"translatedText": "https://arxiv.org/pdf/1301.3781.pdf", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "חותמות זמן:", | ||
"input": "Timestamps:", | ||
"translatedText": "חותמות זמן:", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "0:00 - סיכום על הטבעות", | ||
"input": "0:00 - Recap on embeddings", | ||
"translatedText": "0:00 - סיכום על שיכונים", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "1:39 - דוגמאות מעודדות", | ||
"input": "1:39 - Motivating examples", | ||
"translatedText": "1:39 - דוגמאות למוטיבציה", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "4:29 - דפוס הקשב", | ||
"input": "4:29 - The attention pattern", | ||
"translatedText": "4:29 - דפוס המיקוד (attention pattern)", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "11:08 - מיסוך", | ||
"input": "11:08 - Masking", | ||
"translatedText": "11:08 - מיסוך", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "12:42 - גודל הקשר", | ||
"input": "12:42 - Context size", | ||
"translatedText": "12:42 - גודל הקונטקסט", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "13:10 - ערכים", | ||
"input": "13:10 - Values", | ||
"translatedText": "13:10 - ערכים", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "15:44 - ספירת פרמטרים", | ||
"input": "15:44 - Counting parameters", | ||
"translatedText": "15:44 - ספירת פרמטרים", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "18:21 - תשומת לב צולבת", | ||
"input": "18:21 - Cross-attention", | ||
"translatedText": "18:21 - מיקוד (attention) צולב", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "19:19 - מספר ראשים", | ||
"input": "19:19 - Multiple heads", | ||
"translatedText": "19:19 - מספר ראשים", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "22:16 - מטריצת הפלט", | ||
"input": "22:16 - The output matrix", | ||
"translatedText": "22:16 - מטריצת הפלט", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "23:19 - הולך עמוק יותר", | ||
"input": "23:19 - Going deeper", | ||
"translatedText": "23:19 - העמקה", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "24:54 - סיום", | ||
"input": "24:54 - Ending", | ||
"translatedText": "24:54 - סיום", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
}, | ||
{ | ||
"translatedText": "", | ||
"input": "", | ||
"translatedText": "", | ||
"model": "google_nmt", | ||
"n_reviews": 0 | ||
"n_reviews": 1 | ||
} | ||
] | ||
] |
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