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Why is GraphRAG Possibly One of the Best RAG Systems!
Why GraphRAG?
Nov 18, 2024
•
Damien Benveniste
58
GBM vs XGBoost vs LightGBM vs CatBoost
ML Fundamentals
Jan 15, 2024
•
Damien Benveniste
49
5
1
1:06:13
The Transformer Architecture (V2)
Understanding LLMs
Apr 8, 2024
•
Damien Benveniste
44
2
2
1:52:03
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 here, and the full chapter is available in this…
Feb 12, 2025
•
Damien Benveniste
30
2
Introducing The Big Book of Large Language Models!
For the past years, I have been creating educational content around machine learning and, specifically, large language models.
Jan 30, 2025
•
Damien Benveniste
119
3
10
The LLM APIs Landscape
How to make a choice?
Jan 20, 2025
•
Damien Benveniste
26
3
30 Free Machine Learning E-Books!
Today, I have aggregated 30 e-books about Machine Learning that can be found online.
Dec 4, 2023
•
Damien Benveniste
62
6
9
How to Build Ridiculously Complex LLM Pipelines with LangGraph!
A Simple RAG Pipeline
Sep 16, 2024
•
Damien Benveniste
24
3
Deep Dive: How do Vector Databases Work
Machine Learning System Design
Jul 13, 2023
•
Damien Benveniste
49
1
The Different Agentic Patterns
What is an Agent?
Sep 25, 2024
•
Damien Benveniste
80
5
How to Scale LLM Inference
Scaling LLM inference means that we are able to handle a high number of inference requests while keeping the models large, the latency low, and the…
Apr 1, 2024
•
Damien Benveniste
32
1
How To Construct Self-Attention Mechanisms For Arbitrary Long Sequences
Toward Infinite Sequence Lengths
Mar 21, 2025
•
Damien Benveniste
16
1
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