paul @binaryfoundry

Developing a real time ray tracing framework. https://t.co/aYJGg02kyR binaryfoundry.github.io Joined March 2014

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Amit Patel @redblobgames

3 days ago

Love this blog post from @imadr_

dek @shatterspine

3 days ago

Love this blog post from @imadr_

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On branching in shaders: If-statements are generally better than math operations. The concerns about branching are mostly misplaced based on very old hardware. The main focus should be on avoiding divergence: pixels near each other should do similar things. Branching can become a…

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Leon @LeonWohlgemuth

2 weeks ago

Awesome visualization shows hundreds of AI completions of the prompt "Intelligence is..." in 3D space, showing how responses branch over time. Try it here (by Santiago Ortiz): moebio .com/mind/

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eigenron @eigenron

3 weeks ago

Llama-2-7B with KV-cache, RoPE, and GQA in 240 lines of code (without subtracting comments).

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maharshi @mrsiipa

3 weeks ago

this was the simplest explanation of tensor and expert parallelism i have come across so far

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ℏεsam @Hesamation

3 weeks ago

learn how to build an LLM from scratch, honestly. @rasbt's repo is really a gem. it has notebooks with diagrams and explanations that will teach you 100% of: > attention mechanism > implementing a GPT model > pretraining and fine-tuning my top recommendation for studying LLMs.

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eigenron @eigenron

4 weeks ago

i saw this guy’s video on simulating gravity in C++ and that pushed me into learning OpenGL (failure lol). now he’s back with another one simulating black holes. he incorporated ray tracing, Einstein’s field equation, Schwarzschild solution to the field equation, space-time,…

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Leon @LeonWohlgemuth

4 weeks ago

Watch how an LLM processes a word, step by step. Great for visual learners. Clean, interactive, and super informative. Source: bbycroft .net/llm

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karan @karancl

a month ago

transformers for everyone, if you can read english let this be your introduction to deep learning, you will not regret this!!!

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Grant Sanderson @3blue1brown

a month ago

New video on the details of diffusion models: youtu.be/iv-5mZ_9CPY Produced by @welchlabs, this is the first in a small series of 3b1b this summer. I enjoyed providing editorial feedback throughout the last several months, and couldn't be happier with the result.

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Pramod Goyal @goyal__pramod

a month ago

A short mathematical blog on Softmax It's more interesting than it looks

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Xor @XorDev

2 months ago

"Qubit" vec3 p,v;for(float i,z,d;i++<5e1;o.rgb+=v/d/z)p=z*normalize(FC.rgb*2.-r.xyy),p.z+=6.,v=max(v=abs(p=dot(v=normalize(cos(t*.5+vec3(0,2,4))),p)*v+cross(v,p)),max(v.y,v.z)),z+=d=.2*abs(v.x-2.)+.1*length(min(v=abs(p)+sin(p/v.x*6.+t+t),v.yzx)-1.);o=tanh(o/2e2);

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Pramod Goyal @goyal__pramod

2 months ago

Understanding VAE by the creators of VAE

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Ben Sims @BenSimsTech

2 months ago

How to PBR: n1(air ior): ~1 n2(dielectric ior): 1.5 f0(specCol) = ((n1-n2)/(n1+n2))^2 == 0.04 f0 = lerp(f0, albedo, metallic) fresnel = lerp(f0, 1, pow(1-LdotH, 5)) spec = GgxDv(roughness)*f0 diffuse = lerp(albedo, 0, metallic) return (specular + diffuse)/Pi * NdotL * lightColor

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Pramod Goyal @goyal__pramod

2 months ago

Some of these were recent blogs on attention and transformers I read that made the idea so much more intuitive and simple to me

Pramod Goyal @goyal__pramod

2 months ago

Some of these were recent blogs on attention and transformers I read that made the idea so much more intuitive and simple to me https://t.co/wjmLk8EaCN

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Alex Mordvintsev @zzznah

2 months ago

I'm almost 40 and I only learned about geometric algebra now. OMG, what I've missed! 🤯

Freya Holmér @FreyaHolmer

2 years ago

I'm almost 40 and I only learned about geometric algebra now. OMG, what I've missed! 🤯

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Pramod Goyal @goyal__pramod

2 months ago

What you need to read, if you want to work with LLMs on scale.

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Pramod Goyal @goyal__pramod

2 months ago

Today is the day I truly understood why attention works Not just for words, but images, audio, video. But everything else.

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Tom Yeh @ProfTomYeh

2 months ago

Matrix Multiplication on GPU/TPU by hand ✍️ I drew 91 frames to show how to divide large matrices into "tiles" to use accelerators such as GPU/TPU.

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Codrops @codrops

2 months ago

We just tried out the new Hunyuan 3D 2.1 from @TencentHunyuan — an impressive open-source 3D generative model with PBR materials and great results even on a regular GPU. Exciting times for creators! We can’t wait to see what people make with this! Model: huggingface.co/tencent/Hunyua……