Reletter
Artwork for RecsysML + LLMs

State of the art advances in applied machine learning with a focus on recommender systems

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Issues50Founded5 years agoLast Issuea month ago
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Artwork for RecsysML + LLMs

Latest Issues

LLM Evals From Scratch: Run Your First Benchmarks

Prerequisites

  • Python 3.9+

  • A terminal and a virtual environment

  • No GPU required (CPU is fine for GPT-2)


Step 1 — Why training loss isn’t enough

Here’s a failure mode worth knowing before you spend time traini...

a month ago
8

Personalization at Bluesky

At Bluesky, we are building an open foundation for the social internet, where anyone can create a feed, such as the Science feed, For You feed by spacecowboy, or GLAMS feed. We also aim to provide a great default Discover feed. This post di...

3 months ago
29
3

The Mathematics of Intelligence: A Deep Dive into LLM Training

Creating a state-of-the-art Large Language Model (LLM) is not a single act of training. It is a multi-stage evolution that transforms a raw neural network from a statistical pattern-matcher into a refined, reliable assistant.

This post bre...

4 months ago
8
2

Modernizing GPT-2: A Journey from 2019 to 2025

Part I

Link to GitHub Repository

Introduction

GPT-2 is a legendary model, effectively the “Hello World” of modern LLMs thanks to Andrej Karpathy’s nanoGPT. But in the fast-moving world of AI, 2019 might as well be ancient hist...

4 months ago
10

A framework for ML Design Interviews

Over time, we have developed a framework for approaching ML Design interviews. Using this framework has had a high success rate. (11+ successful offers at E9 to E6 at Meta/Google/etc, 1 failure). Having a framework allows you to (a) ensure...

4 months ago
28
16

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Authors

The writers behind this newsletter.

  • Gaurav Chakravorty

    - Applied ML in Recommender systems (Facebook / Instagram, Google, Discord) - 20 years in Applied ML

  • Vish Sangale

    An ML Researcher obsessed with how intelligent systems actually work. I write about machine learning, intelligence, and decision-making from first principles, favoring intuition over formulas, clarity over hype, and understanding over consensus.

  • Samson Komo

    I geek on RecSys

  • Rahul Agarwal

    Rahul has over a decade of experience in artificial intelligence and machine learning. He has a PhD in computational neuroscience and is currently working ML engineer at Meta.

  • Ian Wesley-Smith

    ML@Bluesky

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