🤖 ML Systems - Kaushik · Scour

Dockerizing ML Models: A Data Engineer’s Guide to Model Serving 🔀Parallel Computing

medium.com

·4d

Short Data, Long Context: Distilling Positional Knowledge in Transformers ⚡Cache Optimization

arxiv.org·2d

Data Pipelines for Machine Learning: From Ingestion to Training (2026 Guide) 📈Trading Systems

flexiana.com·20h

How My First Machine Learning Model Failed Miserably (And What It Taught Me) 📈Trading Systems

medium.com·17h

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU 🔀Parallel Computing

lemmy.ml·1d

Model Packaging Tools Every MLOps Engineer Should Know 🚀Performance Engineering

freecodecamp.org·3d

Kaggle + Google’s Free 5-Day Gen AI Course 📈Trading Systems

kdnuggets.com·18h

Why AI Is Training on Its Own Garbage (and How to Fix It) 📈Trading Systems

towardsdatascience.com·1d

milanm/AutoGrad-Engine: A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies ⚡Cache Optimization

github.com·17h·Hacker News

Building the Blueprint for Premium Inference 🚀Performance Engineering

sambanova.ai·1d

Inference Arena – new benchmark of local inference and training 🚀Performance Engineering

kvark.github.io·4d·Hacker News

An application for training deep learning models in your browser ⚡CUDA

statmodeling.stat.columbia.edu·19h

(7) What is the main benefit of Multi-Token Prediction (MTP)? 🚀Performance Engineering

linkedin.com·2d

Writing an LLM from scratch, part 32j -- Interventions: trying to train a better model in the cloud 📈Trading Systems

gilesthomas.com·13h·Hacker News

Hidden Technical Debt in ML Systems is Broken Abstraction 📈Trading Systems

medium.com·4d

Using R to Teach R: Lessons for Software Development 🚀Performance Engineering

r-bloggers.com·9h

Compression technique makes AI models leaner and faster while they're still learning 🚀Performance Engineering

techxplore.com·13h

Do RL on a model with your vector db 🚀Performance Engineering

cgft.io·3d·Hacker News

Low-Rank Key Value Attention: Reducing KV Cache Memory and Maintaining Head Diversity ⚡Cache Optimization

fin.ai·15h·Hacker News

Learning is Forgetting: LLM Training As Lossy Compression ⚡Cache Optimization

arxiv.org·5h

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