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Deploying LLMs with vLLM and Ray
A comprehensive tutorial on setting up a high-throughput, low-latency LLM serving cluster using vLLM and Ray.
Understanding Diffusion Models: Math and Intuition
Break down the complex mathematics behind Denoising Diffusion Probabilistic Models (DDPMs) into intuitive concepts.
Building a Real-Time Fraud Detection System
An architectural deep dive into designing a low-latency, scalable fraud detection engine using Kafka, Flink, and Redis.
Statistical Arbitrage with Machine Learning: A Practical Guide
How to apply machine learning models to detect mean-reverting anomalies in highly correlated asset pairs.
The Complete Guide to GPU Optimization for Deep Learning
Maximize your CUDA core utilization and avoid common memory bottlenecks with this exhaustive guide to GPU profiling and optimization.
Implementing Transformers from Scratch in PyTorch
A deep dive into the inner workings of the Transformer architecture, complete with heavily annotated PyTorch code for every layer.
Tips for Transitioning from Software Engineer to ML Engineer
Actionable advice for software developers looking to pivot into Machine Learning and AI.