TFLOPS: The GPU Metric Every AI Engineer Should Understand
What TFLOPS actually measures, why FP16 matters for LLMs, and why the most important GPU bottleneck for inference isn't compute at all.
How LLMs Learn to Behave: RLHF, Reward Models, and the Alignment Problem
A practical walkthrough of how large language models are aligned with human values â from collecting feedback to PPO optimization and the reward hacking pitfalls.
A Practical Guide to Fine-Tuning LLMs: From Full Training to LoRA
Understand how LLM fine-tuning works, when to use it, and how to choose between full fine-tuning, LoRA, soft prompts, and other PEFT methods.
Time Series Forecasting App - Amazon Chronos-2
Building a production forecasting application without the complexity of traditional ML model training and feature engineering.