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Build Production-Ready Agentic-RAG Applications From Scratch Course: What we are going to build
On Saturday, September 27th, I am launching a new course: Build Production-Ready Agentic-RAG Applications…
New Course: Build Production-Ready Agentic-RAG Applications From Scratch
On Saturday, September 27th, I am launching a new course: Build Production-Ready Agentic-RAG Applications…
Mixture-of-Experts: Early Sparse MoE Prototypes in LLMs
Mixture-of-Experts might be one of the most important improvements in the Transformer architecture! It allows…
Last Week to Register to the Build Production-Ready LLMs From Scratch Course!
This Saturday, we kick off the latest cohort of the Build Production-Ready LLMs From Scratch course! This is…
Build Production-Ready LLMs From Scratch Starting on July 12th!
Get ready! The latest iteration of the Build Production-Ready LLMs From Scratch live course is starting on…
Last Week to Register to the Build Production-Ready LLMs From Scratch Course!
This Saturday, we kick off the Build Production-Ready LLMs From Scratch course! This is the last week to…
All About The Modern Positional Encodings In LLMs
The Positional Encoding in LLMs may appear somewhat mysterious the first time we come across the concept, and…
Join us for a Free LIVE Coding Event: Build The Self-Attention in PyTorch From Scratch
Next Friday, I am inviting you to join me for an exciting live coding event. It is a completely free event…
Build Production-Ready LLMs From Scratch
Big news! I am now partnering with Maven as an instructor to teach the Build Production-Ready LLMs From…
Chapter 4 of The Big Book of Large Language Models is Here!
Chapter 4 of the Big Book of Large Language Models is finally here!That was a difficult chapter to write!…
Reduce AI Model Operational Costs With Quantization Techniques
Model quantization is becoming a core strategy for training and deployment! I am excited to introduce you to…
How To Construct Self-Attention Mechanisms For Arbitrary Long Sequences
With Gemini models having a 2M tokens context size and Claude having a 200K tokens context size while having…
How To Improve Decoding Latency With Faster Self-Attention Mechanisms
In LLMs, handling large sequences is not enough, we need to make sure the decoding process is fast. Here we…
How To Reduce The Memory Usage Of The Self-Attention
With a bit of magic, we take a very inefficient computation like the Self-Attention and make it super…
How To Linearize The Attention Mechanism!
Today, we talk about how to engineer attention mechanisms in O(n) complexity instead of O(n2). This…
Understanding The Sparse Transformers!
The First Sparse Attention: Sparse TransformersChoosing Sparsity Efficiently: ReformerLocal vs Global…
Attention Is All You Need: The Original Transformer Architecture
This newsletter is the latest chapter of the Big Book of Large Language Models. You can find the preview…
Introducing The Big Book of Large Language Models!
For the past years, I have been creating educational content around machine learning and, specifically, large…