#dsa_python 搜索结果
How does @deepseek_ai Sparse Attention (DSA) work? It has 2 components: the Lightning Indexer and Sparse Multi-Latent Attention (MLA). The indexer keeps a small key cache of 128 per token (vs. 512 for MLA). It scores incoming queries. The top-2048 tokens to pass to Sparse MLA.
🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model! ✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context. 👉 Now live on App, Web, and API. 💰 API prices cut by 50%+! 1/n
DSA is the most important for anyone learning programming But not easy to master. I made a complete Data Structure and algorithms Handwritten Note. ( Worth $45) But, for 24 hours, It's 100% FREE. To get it, just: → Like & Retweet → Reply "DSA" → Follow me (so I can DM)
DeepSeek V3.2 breakdown 1. Sparse attention via lightning indexer + top_k attention 2. Uses V3.1 Terminus + 1T continued pretraining tokens 3. 5 specialized models (coding, math etc) via RL then distillation for final ckpt 4. GRPO. Reward functions for length penalty, language…
TLDR; The PSF has made the decision to put our community and our shared diversity, equity, and inclusion values ahead of seeking $1.5M in new revenue. Please read and share. pyfound.blogspot.com/2025/10/NSF-fu… 🧵
V3.2 with DeepSeek Sparse Attention gets much better efficiency⚡️.
🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model! ✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context. 👉 Now live on App, Web, and API. 💰 API prices cut by 50%+! 1/n
Complete Advance DSA Resources in One Place👇 From beginner sheets to advanced problem-solving guides, logic-building notes, and real-world DSA applications , everything you need to master Data Structures & Algorithms is HERE! Perfect for coding prep & product-based interviews.…
⚡️ Efficiency Gains 🤖 DSA achieves fine-grained sparse attention with minimal impact on output quality — boosting long-context performance & reducing compute cost. 📊 Benchmarks show V3.2-Exp performs on par with V3.1-Terminus. 2/n
If you are in 3 year, ignore outside noises and focus on DSA. DSA will help you crack OA and interviews. Companies still ask DSA and focus on it. It's better for your future.
Become a DSA Master with this Handwritten note! Valued at $45, but yours for 24 hours only, completely FREE! Steps: 1. Like & Retweet 2. Reply "DSA" 3. Follow @Ayzacoder so l can DM Let's level up together!
💻 API Update 🎉 Lower costs, same access! 💰 DeepSeek API prices drop 50%+, effective immediately. 🔹 For comparison testing, V3.1-Terminus remains available via a temporary API until Oct 15th, 2025, 15:59 (UTC Time). Details: api-docs.deepseek.com/guides/compari… 🔹 Feedback welcome:…
Company wise DSA interview and exam questions link - drive.google.com/drive/mobile/f… like , rt for visibility ❤️
The sparse attention in the new DeepSeek v3.2 is quite simple. Here's a little sketch. - You have a full attention layer (or MLA as in DSV3). - You also have a lite-attention layer which only computes query-key scores. - From the lite layer you get the top-k indices for the each…
Gave a talk on @DSPyOSS at @pyconfinland @ploneconf. The reactions were pretty good, very few knew about it and gladly I could showcase the goldmine we're missing out on! Here's the slide deck - docs.google.com/presentation/d… Recordings coming soon.
💥 DSA to nowe ACTA – tylko znacznie groźniejsze. Wtedy walczyliśmy o wolność w sieci, dziś musimy walczyć o prawo do prawdy. Bruksela pod hasłem „walki z dezinformacją” chce przejąć kontrolę nad tym, co widzisz, co piszesz i co myślisz. To nie jest walka z nienawiścią – to walka…
Official release of DeepSeek-V3.2-Exp with DeepSeek Sparse Attention + massive price cuts! DeepSeek Sparse Attention (DSA) makes inference cheaper (especially long-context) by learning which past tokens matter for each new token and running full attention only on those. DSA…
🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model! ✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context. 👉 Now live on App, Web, and API. 💰 API prices cut by 50%+! 1/n
Best DSA resources I’ve come across so far 🧵 Here are the platforms, playlists, and guides that helped me truly understand Data Structures & Algorithms. Trust me these will be more than enough for you to master DSA too.
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