与「Vanilla」相关的搜索结果

@KeZhang2020 @ChooLucia 是的，这是假的。Starbucks 不会用标着“Vanilla Latte”的大型油罐车运输成品咖啡，这属于夸张的讽刺 meme/AI 视频。现实中没有 I-95（或西雅图）发生这种卡车翻车后人群抢咖啡的事件，纯属搞笑 hoax。😂

Introducing @𝚠𝚝𝚎𝚛𝚖/𝚐𝚑𝚘𝚜𝚝𝚝𝚢 Ghostty for wterm DOM-native terminal rendering Full VT powered by libghostty → browser primitives just work → easy to extend and integrate → drop-in components for React, Vue and vanilla JS

Which ice cream flavor are you aping into at @BNBChain Super Meetup? Tell us below 👇 1 lucky enjoyoor will take home an exclusive PancakeSwap merch box 🎁 (must be at event) Psst — there’s another way to get these boxes too. Slide into our booth and ask us how 👀 🍦 Classic Vanilla Dream 🍫 Italian 60% Dark Chocolate 🍓 Berry Fairy 🥜 Pistachio Party 🍵 Hojicha Zen 🧈 Hong Kong Silken Tofu 🥥 Tropical Coconut 🍪 Cookie Kingdom

#PaperADay# recap On January 8th, I set out to read and take notes on one paper each weekday for the rest of the month. I missed one day due to a funeral, and another day due to bad time management, but not too bad. I probably averaged a bit over 2 hours on each of them, which is only a rough read in some cases, but still enough to put a pinch in my work days. You can easily spend all day on a single paper if you dig in deep. I have written code based on six of the papers so far, and the others are still kicking around in my head. For now, back to my previous habits, but I may consider doing “week of papers” in the future after I digest where this fits in the exploration / exploitation time tradeoff. 15: Mastering Diverse Domains through World Models 14: MASTERING ATARI WITH DISCRETE WORLD MODELS 13: DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION 12: Learning Latent Dynamics for Planning from Pixels 11: Discovering state-of-the-art reinforcement learning algorithms 10: LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics 9: floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL 8: Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering 7: Cautious Weight Decay 6: LOCAL FEATURE SWAPPING FOR GENERALIZATION IN REINFORCEMENT LEARNING 5: Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful 4: Patches Are All You Need? 3: Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture 2: Deep Delta Learning 1: Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

#NEKOPARA# #Vanilla# #Cosplay# Wake up！My master💋 度過今天就可以放假嘍！大家甘吧爹~~✧*。٩(ˊωˋ*)و✧*。 也終於出到了一直很想出的貓娘樂園，嘻嘻🥰 有角色想推薦給我的也別害羞哦！(๑•̀ᄇ•́)و ✧ #貓娘樂園# #香草#