The ML Tech Lead!
My name is Damien, former ML Tech Lead at Meta and more than 10 years in the field of AI/ML! I share my knowledge of the field to help prepare the next generation of ML Engineers
How To Get a Job in Machine Learning
How To Reduce LLM Decoding Time With KV-Caching!
How to Scale LLM Applications With Continuous Batching!
Why We Need Streaming Applications with LLMs!
How To Bring Machine Learning Projects to Success
What are Float32, Float16 and BFloat16 Data Types?
The Position Encoding In Transformers
What Is Machine Learning System Design?
Understanding How LoRA Adapters Work!
The Backpropagation Algorithm Explained!
Understanding The Computational Graph in Neural Networks
How to Approach Model Optimization for AutoML
Understanding CatBoost!
Implementing the Self-Attention Mechanism from Scratch in PyTorch!
What is the Vision Transformer?
Understanding XGBoost From A to Z!
The Gradient Boosted Algorithm Explained!
How Can We Generate BETTER Sequences with LLMs?
What is this Temperature for a Large Language Model?
From Words to Tokens: The Byte-Pair Encoding Algorithm
The Multi-head Attention Mechanism Explained!
What ML Engineer Are You? How To Present Yourself On Your Resume
Understanding How Vector Databases Work!
Понимание механизма самовнимания за 8 минут
What is Perplexity for LLMs?
Getting a Job in AI: The Different ML Jobs
Revolutionizing Education with AI: Personalized Learning, Model Challenges, and Finance Insights
Exploring Data Science Careers and Potential of Large Language Models
Unlocking AI's Secrets: Career Journeys, Challenges, and the Future
Working in AI as a Software Engineer!