Skip to content

Latest commit

 

History

56 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Welcome to Little ML book club. We are reading ML books and papers. Together!

Hello fellow ML geeks, my name is Andrey and I know about ML much-much less than I want to. While I do not think I will ever reach the level of "finally good enough", I still want to learn in a good company. Join in!

ATTENTION! The club is currently on pause! Enjoy your summer and stay tuned for the news!

How it works:

  • Read a chapter from the list.
  • Jump on a call.
  • Listen to me talk over some slides or present yourself (pretty pretty pretty please!)
  • Take part in the discussion and learn something.
  • Slides will be uploaded to this repo, recording uploaded to Youtube
  • Join the chat for important announcements and discussion: Discord, Telegram (anouncements will be duplicated)

Table of contents:

What we are reading

Schedule: every Tuesday, 18:00 (London time) - Zoom

Date Topic Presented by Slides Recording
2 Apr, 2026 Training Compass @fxlrnrpt pdf youtube
9 Apr, 2026 Every Big Model Starts with a Small Ablation @fxlrnrpt pdf youtube
16 Apr, 2026 Architecture: Attention @fxlrnrpt pdf youtube
28 Apr, 2026 Architecture: Embedding Sharing, Intro to Positional Encoding @fxlrnrpt pdf youtube
12 May, 2026 Positional Encoding Deep Dive and Long Context @The0nix pdf youtube
9 Jun, 2026 Improving Stability, Additional Considerations, Architecture: MoE, Hybrid Models, Tokenizer TBD
23 Jun, 2026 Optimizer and Training Hyperparameters TBD
30 Jun, 2026 The Art of Data Curation TBD
7 Jul, 2026 The Training Marathon TBD
14 Jul, 2026 Post-Training Compass, Evals, Tools, SFT TBD
4 Aug, 2026 Prefernce optimization, Going On-Policy and Beyond Supervised Labels TBD
11 Aug, 2026 Infrastructure TBD

What we have read in the past

Date Topic Presented by Slides Recording
12 Feb, 2026 Ch.9 Diving into the GPUs [fused kernels:] @stalkermustang slides recording
5 Feb, 2026 Ch.9 Diving into the GPUs [:fused kernels] @fxlrnrpt slides recording
22 Jan, 2026 Ch.8 Finding the Best Training Configuration @fxlrnrpt slides recording
15 Jan, 2026 Ch.7 5D Parallelism in a Nutshell @fxlrnrpt slides recording
18 Dec, 2025 Ch.6 Expert Parallelism @stalkermustang slides recording
11 Dec, 2025 Ch.5 Pipeline Parallelism @fxlrnrpt slides recording
4 Dec, 2025 Ch.4 Context Parallelism @stalkermustang slides recording
27 Nov, 2025 Ch.3.2 Sequence Parallelism @fxlrnrpt slides recording
20 Nov, 2025 Ch.3.1 Tensor Parallelism @fxlrnrpt slides recording
13 Nov, 2025 Ch.2.2 Model Parallelism [ZERO:] @fxlrnrpt slides recording
06 Nov, 2025 Ch.2.1 Data Parallelism [:ZERO] @fxlrnrpt slides recording
30 Oct, 2025 Ch.1 First Steps: Training on One GPU @stalkermustang slides recording
Date Topic Presented by Slides Recording
9 Feb, 2026 Chapter 1: Prompt Chaining @fxlrnrpt slides recording
11 Feb, 2026 Chapters 2-4: Routing, Parallelization, Reflection @anyaepie slides recording
13 Feb, 2026 Chapters 5-7: Tool Use, Planning, Multi-Agent @fxlrnrpt slides recording
16 Feb, 2026 Chapters 8-12: Memory Management, Learning and Adaptation, MCP, Goal Setting and Monitoring, Exception Handling and Recovery @anyaepie slides recording
18 Feb, 2026 Chapters 13-16, 18: Human-in-the-Loop, Guardrails/Safety Patterns, RAG, A2A, Resource-Aware Optimization @julia-meshcheryakova, @fxlrnrpt slides1, slides2 recording
20 Feb, 2026 Chapters 19-20: Evaluation and Monitoring, Prioritization, @AnCh7 slides recording
27 Feb, 2026 Chapters 17, 21, Appendix Reasoning Technique, Exploration and Discovery, Appendix @fxlrnrpt slides

About

No description, website, or topics provided.

Resources

Stars

39 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors