Semblance

333 posts

Semblance

Semblance

@piratedmango

checking x's mechanism

Katılım Ağustos 2024
36 Takip Edilen2 Takipçiler
Coin Bureau
Coin Bureau@coinbureau·
🚨ANTHROPIC CEO: OPEN SOURCE AI IS GETTING DANGEROUS Anthropic CEO Dario Amodei told lawmakers that open-source AI is moving down a “very dangerous path.” His warns that once powerful models are released openly, companies lose the ability to monitor misuse, revoke access, or update safety guardrails.
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Semblance
Semblance@piratedmango·
@coinbureau maybe training on free data was thieving i think he is in desperate need of money, ,you can only terrorize up-to an extent ,and after that it feels like any normal day
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Sakura Yuki
Sakura Yuki@sakurayukiai·
Offloading your KV cache to NVMe usually just makes the OS page cache thrash your RAM. DUAL-BLADE fixes this by completely bypassing the filesystem to stream tensors straight from raw SSD blocks. I love when the solution is just ignoring the kernel ✨
Sakura Yuki tweet media
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Semblance
Semblance@piratedmango·
@shrav_10 in his voice:-The first lets you experiment with quick results. The second comes after you've curated enough successful experiments into training data. At that point, you fine-tune the model so it learns those patterns, rather than depending on retrieval every time.
GIF
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Shravani
Shravani@shrav_10·
Interviewed another candidate today. I asked him what RAG is. He replied: RAG is a technique that allows an LLM to answer questions using external knowledge instead of relying only on what it learned during training. Then I asked about fine-tuning. He said: Fine-tuning is the process of training a pre-trained language model on your own dataset so that it learns a new behavior, style, or task. Then I asked a follow-up: Since RAG can inject external knowledge and even mimic a user's persona through retrieved context, why do we still need fine-tuning? When would you choose one over the other? What would your answer be?
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Priyanka Wadhwani
Priyanka Wadhwani@also_priyanka·
tired? well your competition isn't
Priyanka Wadhwani tweet media
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Semblance
Semblance@piratedmango·
@levidiamode @blelbach @GPU_MODE so here is my question ,wont this put you on a loop for trying and fixing one solution after the next ,idk it feels like that to me ,or are you guys giving it a step by step instructions ..
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levi
levi@levidiamode·
171/365 of GPU Programming Finally got below 2ms on the GPU Mode QR challenge. Still quite far away from CUDA colonel @blelbach, so I'm excited to read everyones' writeups once the competition is over. I especially wonder how #1 is utilizing NVFP4 (or is the submission name a false flag?). Every lower precision attempt has not panned out for me so far unfortunately. Very curious where the top 3 will converge in a week from now... If you're still debating whether to participate, would highly recommend! You learn so much from just trying stuff and being in the discord. And @modal gives you $30 in monthly compute for free. Maybe we can get a bit more compute for the next challenge if we all ask @charles_irl nicely 😁😁
levi tweet media
levi@levidiamode

170/365 of GPU Programming Just going through the motions of QR factorization and Gram Schmidt today while concepts around orthogonality, norms and projections. It's been a while since I studied Linear Algebra, so it's been fun reviewing some older concepts and learning new ones as well. Will spend some time learning more about Cholesky and Householder as well tomorrow.

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Anshit Gupta
Anshit Gupta@AnshitGupta7x7·
I’m 21 - bought myself lego(hackathon money) - no rich parents - not “got lucky” - no IIT - set a goal and achieved it Discipline, Consistency, Priorities✌🏻
Anshit Gupta tweet media
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Ashwin Nair 🎴
Ashwin Nair 🎴@AshwinN14729359·
What language did you write your very first program in?
Ashwin Nair 🎴 tweet media
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Taniya
Taniya@Taniyatweets_·
@avrldotdev 512MB? Bro is coding on pure nostalgia
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Taniya
Taniya@Taniyatweets_·
Be honest, for a dev, how much RAM is enough? 1. 4 GB 2. 8 GB 3. 16 GB 4. 24 GB 5. 32 GB 6. ⁠64 GB
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Semblance
Semblance@piratedmango·
@Taniyatweets_ for a mac,128gb no doubt ,in this day and age get apple care too
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Semblance
Semblance@piratedmango·
@Zinny_Edmund it helps u gain speed .test how it improved your system then u wont need to do ,redo it
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Zinny 🎀
Zinny 🎀@Zinny_Edmund·
Does a developer necessarily have to know Data structure and Algorithms?
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Semblance
Semblance@piratedmango·
@aadityansha_06 think about the matrices as a whole ,do u really need that much of data transfers :- p.s:-Linear algebra
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shivani
shivani@shivanijpatel·
hardware people, how do you keep your desk neat?
shivani tweet media
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r1shi
r1shi@Rishikesh04code·
exams first then back to building ( tbh the beauty of CSE <3 never gets old )
r1shi tweet media
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Semblance
Semblance@piratedmango·
@karanbuidls @rohan_jvm the incomplete draft? ,its like not even touching the basics ,so u can really understand what's going on and secondly it doesn't describe data's chracteristic. like:-is the matrix symmetric or not 2ndly-if its diagonal dependent or dependent on the off diagonal one 3rd r99
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Karanjot Singh
Karanjot Singh@karanbuidls·
Thanking my 5 year younger self today :) Back in 2021, got myself an RTX 3050 & now it’s giving me a 13.5x speedup on 1000x1000 matrix multiplication Now it’s time to see what it can do for deep learning :)
Karanjot Singh tweet media
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Semblance
Semblance@piratedmango·
@_arohan_ SVD - has its limitations u need to be actually a chef to cook the whole thing
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rohan anil
rohan anil@_arohan_·
Whats your favorite linear algebra operation? My colleague said SVD must be made by god himself because it’s a miracle in 2d.
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