What’s the best way to track the progress of my book, The Little Book of ML Metrics? 1️⃣ Visit the book’s repo: github.com/NannyML/The-... 2️⃣ Download the latest digital WIP version. 3️⃣ Start reading while I keep writing. It gets updated every time I push new changes.

It's happening! Join us next week to ask Sebastian Raschka anything! 📅 Date: February 11th ⏰ Time: 10:00 AM – 11:00 AM EST 📍 Register: lu.ma/evqa4rct

Super proud to work at a place that values open science. Four years ago, at NannyML, we invented the first version of Confidence-Based Performance Estimation. Today, a paper about it was published in JAIR. JAIR: jair.org/index.php/ja... ArXiv: arxiv.org/abs/2407.08649

Took me over an hour to fully understand the computation behind the Pair Confusion Matrix. Hopefully, it’ll take you a lot less after reading my explanation in "The Little Book of ML Metrics" www.nannyml.com/metrics?via=...

You can just do many things. Yesterday was my first day at culinary school!

If people don’t think what you do is cringe, then you’re not pushing hard enough. Every person you admire was once considered cringe by someone. A Writer, YouTuber, Founder, Musician, you name it. They all got to where they are because they constantly shared their work with the world. Constantly.

Chef kiss www.seangoedecke.com/on-writing/

New post www.santiviquez.com/blog/ml-book...

We’re deciding what book to read next in the "AI from Scratch" study group. So far, we have these two: 1. AI Engineering by Chip Huyen 2. Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero and gang Any other suggestions?

• Work hard • Keep learning • Cherish loved ones • Find people who inspire you • Be kind & egoless • Eat healthy, exercise, sleep well • Read & write • Practice gratitude & meditate • Be present • Enjoy food & nature • Don’t sweat the small stuff • Smile =)

First AI from Scratch session of 2025! A big thanks to @carloscapote.bsky.social and Michael Erasmus for their excellent explanations in today's meeting.

Forgot to share the news, but here it is: Our NannyML open-source package reached 2,000 GitHub stars! 🌟 Slowly but steadily 💪

Another one from the book. Log Loss (aka cross-entropy loss)! --- If you're interested in more metric descriptions like this one, check out the book I'm writing: The Little Book of ML Metrics. GitHub Repo: github.com/NannyML/The-... Pre-order the book:https://www.nannyml.com/metrics

Which ranking metrics am I missing? In the coming weeks, I'll be working on the ranking chapter for "The Little Book of ML Metrics", and I want to make sure I'm not missing any popular ranking/recsys metrics.

Every time you say "garbage in, garbage out" an ML model dies.

ML Books I'll Be Reading in 2025 📚 1. "AI Engineering: Building Applications with Foundation Models" (Huyen, 2024): amzn.to/4gtQgJo We’ll probably read it in the study group "AI from Scratch."

During the pandemic—specifically, on May 7, 2020—I wrote some goals on a piece of paper. I folded it, stored it in my wallet, and forgot about it. Today, I found it and realized I’ve accomplished all of them.

I wrote a retrospective about my 2024, reflecting on all the amazing things that happened to me—and the not-so-amazing ones. Feeling grateful and extremely excited about 2025! www.santiviquez.com/blog/2024-re...

If you're feeling generous and want to buy me a Christmas present while also getting yourself one, hit that pre-order button! 😂 Just kidding—sharing this would mean the world to me too 🫶 📔About the book: www.nannyml.com/metrics?via=...

Hear me out. Post-deployment data science. The part of data science that focuses on models after they have been deployed. - Checking if the model is delivering value. - Continuously estimating model performance. - Understanding performance issues and fixing them.

Univariate data drift doesn't show the full picture. Take a look at this demo created by my colleague @anopsy.bsky.social There are two univariate distributions (top and right) which remain almost unchanged during the whole process.

Yesterday I forgot to post about our study group meeting 😅 It was an amazing one! @carloscapote.bsky.social walked us through Chapter 5: Pretraining on Unlabeled Data. Next week, we’ll take a short break, but we’ll be back after the holidays to finish Chapters 6 and 7 💪

I've almost completed the preparations for the session about pretraining. For the moment, I'm pretty happy with the results. Sebastian's book is a source of information and inspiration. Now I've so many ideas about how to inspect an LLM to understand it better. 🎉 github.com/elcapo/llm-f...

F1-score often takes all the credit. But what F1-score doesn't want you to know is that it wouldn't be so popular without its big brother, F-beta. Check out other metrics at: github.com/NannyML/The-...

My notes from Chapter 4: "Implementing a GPT Model from Scratch to Generate Text" www.santiviquez.com/blog/llm-scr...

800 GitHub stars on The Little Book of ML Metrics 🌟 But even more exciting than the stars is that for the past week, every day I've been waking up to at least two PRs from the community helping me write the book 🔥

Today’s session was a fun one. We started putting everything together and implemented a GPT model. My favorite part of the book is the way Sebastian outlined and structured it to progressively build on previous sections. That alone makes it worth every penny.

We need a Conda wrapped. You waited 10523 minutes installing PyTorch this year.

Performance metrics are aggregates. Watch out for underperforming segments 👀

There are scenarios where data drift can improve model performance. This happens when the production data moves to regions where the model is more confident in its predictions.

My notes from Chapter 3 of “Build a Large Language Model (from scratch)” www.santiviquez.com/blog/llm-scr...

Today, I opened a ton of good first issues. So, if you'd like to help me write The Little ML Metrics Book, hit me up, and I'll guide you through your first issue. github.com/NannyML/The-...

To learn and create things in public, you sometimes just need to embrace the cringe.

Let me try something

I asked an AI Engineer what it would cost to create this today. I will never forget his answer… “We can’t, we don’t know how to do it.”

Richard S. Sutton: "I'll write an introduction to RL." Also Richard: Writes a 552-page-long book

Many such cases

Today's session was a great one. I feel like the intuition behind Q, K, and V matrices in self-attention finally clicked for many of us.

All I want for Christmas is… to have a full day with no work, no meetings, no distractions, and no worries—just to reset my laptop to factory settings and start 2025 with a fresh start.

The weekends are for building LLMs. Join us at reading “Build a Large Language Model (from scratch)” by @sebastianraschka.com

I’m tired of conda

Today, I was thinking about one of the first blog posts I ever wrote. It was about how a single Snickers bar helped me get the first 1,000 downloads of an app I had made the day before. Aside from being a funny story, this post from eight years ago also helped me land my first job at a startup.

The model makes predictions The predictions drive business actions The actions create a business impact The impact can be positive or negative We need ground truth to evaluate the impact But ground truth takes forever to arrive The model keeps making bad predictions The business suffers

This blog post is probably the most comprehensive, detailed, and approachable explanation of PPO (Proximal Policy Optimization) out there. Love seeing companies invest time in education: www.adaptive-ml.com/post/from-ze...

I heard bluesky likes links. So here is a link to a book I’m writing. github.com/NannyML/The-...

I’m considering making a data people starter pack just to be in one 😞

Isn’t awesome that between two numbers there’s, always another one. What a time to be alive.

Data Science is my passion.

Tomorrow Sunday at 2 pm UTC we will have our second session. This time we'll discuss text preprocessing and embeddings in detail.

If you could send a book to everyone in the world, which one would you choose?