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0:10:51
LLMs Need New Special Components For Abstract Thinking, Reasoning, Hierarchical Planning
0:11:14
How I See Path To Superintelligence (Not LLMs)
0:38:34
Triton Beginner Coding Tutorial From Scratch - Step by Step - Kernel Fusion
0:13:15
Code Cross Entropy Loss From Scratch - Negative Log Likelihood Loss - Become AI Researcher
0:22:46
50% Less Memory - Cut Cross Entropy - Coding LLM From Scratch
0:20:35
GPU Kernel Fusion from Scratch for Beginners
0:20:36
3x Faster LLM Training - PyTorch Profiler Tutorial - Train & Code LLM From Scratch
0:23:39
7 Crazy Attention Optimizations You’re Not Using - Coding LLM From Scratch
0:02:23
What is log softmax - Coding LLM From Scratch
0:05:03
How PyTorch Compiles Code Runs 5x Faster Torch Inductor Explained + Examples
0:27:53
torch.backward() Explained Step by Step - How Backpropagation Works In PyTorch - Coding small LLM
0:32:19
Code RoPE, How GPU Processes Tensors, How PyTorch Compiles 5x Faster Code - Coding LLM From Scratch
0:06:46
Claude 4 Opus & Sonnet Are BEST CODING Models In The World - New Anthropic Models CRUSH Coding, Math
0:38:22
RoPE In DeepSeek V3 - Code Step by Step - Rotary Positional Embeddings From DeepSeek From Scratch
0:22:52
Triton Kernels Basics, How DeepSeek Trains AI 2x Faster
0:05:17
NEW 5x Faster GEMINI - Diffusion LLM 2000 Tokens / Seconds
0:22:16
DeepSeek V3 FP8 QUANTIZATION Explained - 4x Less Memory
0:04:14
New DeepSeek Paper - How To Build Hardware For AI
0:20:09
Step by Step EINSUM To Code Attention In Transformers
0:02:57
5 AI Websites To Generate Ads & Shorts
0:01:51
Generate ANY PDF With Grok AI - Tax, Invoice, NDA, Letter, Form, Documents
0:04:05
100% on all Benchmarks Soon - What's Next For LLMs
0:05:18
DeepMind: Few Shot Examples Are Better Than Fine Tuning In These Cases
0:15:00
Turn Anything Into A PODCAST - Books, Papers, Documents - Listen & Learn - Google Illuminate
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