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@sashalukyanovaaa: распаковка бюджетных новинок и не только новинок из зя и озона 🩵

sasha alieva
sasha alieva
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Region: LV
Thursday 29 October 2026 20:36:24 GMT
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krictuchik10
kristuchik10 :
Можно арт на румяна
2026-10-30 18:10:04
0
user7600058318132
Тарина9 :
помада Вивьен сабо 1в1 как у бьюти бомб)
2026-10-30 17:05:39
0
fmlgu
Ransom :
у миксит ещё будет набор с баттером лимонный пирог
2026-10-30 06:41:40
0
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How does an LLM actually turn your prompt into a response? 🧠 Here's the big picture: 1️⃣ Your text is broken into tokens and converted into vectors that the model can process. 2️⃣ These vectors pass through many layers, where two key components repeatedly transform them: attention and feed-forward layers. 3️⃣ Attention lets the token representations interact with each other and incorporate information from the surrounding context. 4️⃣ The feed-forward layer then transforms each token representation independently. 5️⃣ After passing through all the layers, the model produces probabilities for what token should come next. 6️⃣ It selects a token, adds it to the sequence, and repeats the process until the response is complete. The key idea: An LLM doesn't generate an entire response at once. It repeatedly predicts the next token based on everything that came before it. #LLMs #GenerativeAI #Transformers #ArtificialIntelligence #MachineLearning
How does an LLM actually turn your prompt into a response? 🧠 Here's the big picture: 1️⃣ Your text is broken into tokens and converted into vectors that the model can process. 2️⃣ These vectors pass through many layers, where two key components repeatedly transform them: attention and feed-forward layers. 3️⃣ Attention lets the token representations interact with each other and incorporate information from the surrounding context. 4️⃣ The feed-forward layer then transforms each token representation independently. 5️⃣ After passing through all the layers, the model produces probabilities for what token should come next. 6️⃣ It selects a token, adds it to the sequence, and repeats the process until the response is complete. The key idea: An LLM doesn't generate an entire response at once. It repeatedly predicts the next token based on everything that came before it. #LLMs #GenerativeAI #Transformers #ArtificialIntelligence #MachineLearning
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POV: Your car/lawn mower battery dies? 😱 This charger fixes it FAST 🔥 15A, 12V-24V, works on ALL batteries! 🛠️ #BatteryHacks #CarEssentials #TikTokMadeMeBuyIt #HomeGardenHacks


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