- mlsys
- transformer
- paper-summaries
- MLSys
- LLMs
- PPML
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Notes from GTC'25: CUDA Techniques to Maximize Compute and Instruction Throughput
My notes from the talk on maximizing compute and instruction throughput at NVIDIA GTC 2025.
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Notes from GTC'25: CUDA Techniques to Maximize Memory Bandwidth and Hide Latency - Part 2
Second part of my notes from the talk on maximizing memory bandwidth at NVIDIA GTC 2025.
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Notes from GTC'25: CUDA Techniques to Maximize Memory Bandwidth and Hide Latency - Part 1
First part of my notes from the talk on maximizing memory bandwidth at NVIDIA GTC 2025.
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Faster Cross-Encoder Inference: Unleashing torch.compile for speed
A quick writeup on accelerating a Jina Cross-Encoder using torch.compile
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Paper Summary #13 - Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
My notes from the Physics of Language Models series of papers.
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Paper Summary #12 - Image Recaptioning in DALL-E 3
The image recaptioning technique used in DALL-E 3 was extended to videos in Sora.
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Paper Summary #11 - Sora
OpenAI announced a ground-breaking text-to-video diffusion model capable of generating high-definition videos up to 60 seconds long.
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Paper Summary #10 - Gemini 1.5 Pro
Google DeepMind announced a multimodal LLM with support of up to 10M context length.
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Solving Substitution Ciphers using Markov Chain Monte Carlo (MCMC)
Deciphering substitution ciphers can be framed as a Markov chain problem and a simple Monte Carlo sampling approach can help solve them very efficiently
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Paper Summary #9 - Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Understanding Sophia - A new fast, scalable second-order optimizer which beats Adam on LLM pretraining.