شبکه داستانی عصبی
Dua Lipa – Training Season - Extended
ریتم این آهنگ رو حس میکنم یه جا شنیدم. خیلی شبیه یه نوحه یا آهنگی عه که پیدا نمیکنم. کسی میدونه؟
نکتهی تلفظی که خیلی ساده به نظر میرسه ولی الان بهش برخوردم:
domain
دومین تلفظ میشه. دامین تلفظ نمیشه. داشتم فکر میکردم چرا اینجور تلفظ کردم به این نتیجه رسیدم شاید از اینکه توی فارسی میگیم دامنه و دامین میاد.
علیایحال. دومین تلفظ کنید چون من دامین تلفظ کردم و بعد حتی طرف مقابلم که نیتیو بود نفهمید چی میگم کلا
domain
دومین تلفظ میشه. دامین تلفظ نمیشه. داشتم فکر میکردم چرا اینجور تلفظ کردم به این نتیجه رسیدم شاید از اینکه توی فارسی میگیم دامنه و دامین میاد.
علیایحال. دومین تلفظ کنید چون من دامین تلفظ کردم و بعد حتی طرف مقابلم که نیتیو بود نفهمید چی میگم کلا
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یه ربع پیش منتشر شد:
https://openai.com/blog/introducing-improvements-to-the-fine-tuning-api-and-expanding-our-custom-models-program
https://openai.com/blog/introducing-improvements-to-the-fine-tuning-api-and-expanding-our-custom-models-program
Openai
Introducing improvements to the fine-tuning API and expanding our custom models program
We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.
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در زمینهی یکی از anti-pattern ها در طراحی میکروسرویسها به اسم content coupling
https://twitter.com/RaulJuncoV/status/1776607213479424409
https://twitter.com/RaulJuncoV/status/1776607213479424409
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شبکه داستانی عصبی
در زمینهی یکی از anti-pattern ها در طراحی میکروسرویسها به اسم content coupling https://twitter.com/RaulJuncoV/status/1776607213479424409
لزوما نیاز نیست حتما میکروسرویس باشن. اگه ماژول هم باشن همینه.
حتی در زمینههای دیگه مثل طراحی کلاس. کلا وقتی یکی مسئول یه کاریه بقیه نباید برن خودشون اون کار رو بکنن. خودشون مگه ناموس ندارن؟ 😅😅
حتی در زمینههای دیگه مثل طراحی کلاس. کلا وقتی یکی مسئول یه کاریه بقیه نباید برن خودشون اون کار رو بکنن. خودشون مگه ناموس ندارن؟ 😅😅
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شبکه داستانی عصبی
با تشکر از ai عزیز Fully generated by ai
How I feel with this
Idea by me, generation by lots of iterations with Dalle3
Idea by me, generation by lots of iterations with Dalle3
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همینجوری نشسته بودم یهو یاد Nash equilibria افتادم!
خیلی کانسپت جالبی عه! و اسمش رو دوست دارم. حس باحالی میده 😅
https://en.m.wikipedia.org/wiki/Nash_equilibrium
خیلی کانسپت جالبی عه! و اسمش رو دوست دارم. حس باحالی میده 😅
https://en.m.wikipedia.org/wiki/Nash_equilibrium
Wikipedia
Nash equilibrium
In game theory, a Nash equilibrium is a situation where no player could gain more by changing their own strategy (holding all other players' strategies fixed) in a game. Nash equilibrium is the most commonly used solution concept for non-cooperative games.
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شبکه داستانی عصبی
همینجوری نشسته بودم یهو یاد Nash equilibria افتادم! خیلی کانسپت جالبی عه! و اسمش رو دوست دارم. حس باحالی میده 😅 https://en.m.wikipedia.org/wiki/Nash_equilibrium
اگه آشنا نیستید، خیلی خلاصه اینه: (با تشکر از chatgpt):
Nash equilibria, a concept from game theory, can be explained simply as a situation in a game where no player can benefit by changing their strategy while the other players keep theirs unchanged. To understand this better, let’s consider a game involving two players. Each player chooses a strategy based on the assumption that the other player’s strategy is fixed. A Nash equilibrium occurs when the strategy each player has chosen yields the best possible outcome for them, given the strategy of the other player.
For example, think of two companies setting prices for similar products. If both companies have chosen a pricing strategy that maximizes their profit given the price set by the other company, and neither can do better by changing their own price while the other's price remains constant, they are in a Nash equilibrium.
This concept is crucial because it suggests a stable state in competitive scenarios where no participant gains by unilaterally changing their strategy. However, it’s important to note that a Nash equilibrium doesn't necessarily mean the best overall outcome for all players involved; it just means no player has anything to gain by changing only their own strategy.
Nash equilibria, a concept from game theory, can be explained simply as a situation in a game where no player can benefit by changing their strategy while the other players keep theirs unchanged. To understand this better, let’s consider a game involving two players. Each player chooses a strategy based on the assumption that the other player’s strategy is fixed. A Nash equilibrium occurs when the strategy each player has chosen yields the best possible outcome for them, given the strategy of the other player.
For example, think of two companies setting prices for similar products. If both companies have chosen a pricing strategy that maximizes their profit given the price set by the other company, and neither can do better by changing their own price while the other's price remains constant, they are in a Nash equilibrium.
This concept is crucial because it suggests a stable state in competitive scenarios where no participant gains by unilaterally changing their strategy. However, it’s important to note that a Nash equilibrium doesn't necessarily mean the best overall outcome for all players involved; it just means no player has anything to gain by changing only their own strategy.
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