Maarten Grootendorst
@maartengr.bsky.social
🧑💻 Data Scientist | Psychologist
📖 Author of "Hands-On LLMs" (http://LLM-book.com)
🧙♂️ Open Sourcerer (BERTopic, PolyFuzz, KeyBERT; github.com/MaartenGr)
💡 Demystifying LLMs (newsletter.maartengrootendorst.com)
📖 Author of "Hands-On LLMs" (http://LLM-book.com)
🧙♂️ Open Sourcerer (BERTopic, PolyFuzz, KeyBERT; github.com/MaartenGr)
💡 Demystifying LLMs (newsletter.maartengrootendorst.com)
Drafts of the first two chapters of "An Illustrated Guide to AI Agents" are now available in Early Release on the O'Reilly platform!
October 28, 2025 at 4:58 PM
Drafts of the first two chapters of "An Illustrated Guide to AI Agents" are now available in Early Release on the O'Reilly platform!
Excited to share that @jayalammar.bsky.social and I are writing the book “An Illustrated Guide to AI Agents” with @oreilly.bsky.social 🥳
Our new book will contain chapters on the fundamentals of agents (memory, tools, and planning), alongside more advanced concepts like RL and reasoning LLMs.
Our new book will contain chapters on the fundamentals of agents (memory, tools, and planning), alongside more advanced concepts like RL and reasoning LLMs.
October 13, 2025 at 3:11 PM
Excited to share that @jayalammar.bsky.social and I are writing the book “An Illustrated Guide to AI Agents” with @oreilly.bsky.social 🥳
Our new book will contain chapters on the fundamentals of agents (memory, tools, and planning), alongside more advanced concepts like RL and reasoning LLMs.
Our new book will contain chapters on the fundamentals of agents (memory, tools, and planning), alongside more advanced concepts like RL and reasoning LLMs.
We've made so much extra (free!) content it could be its own book 😅
I counted more than 300 visuals across our illustrated and visual guides!
I counted more than 300 visuals across our illustrated and visual guides!
April 30, 2025 at 3:37 PM
We've made so much extra (free!) content it could be its own book 😅
I counted more than 300 visuals across our illustrated and visual guides!
I counted more than 300 visuals across our illustrated and visual guides!
Happy to introduce my video on this alternative LLM architecture, Mamba and State Space Models!
I wanted to do it for a while now and finally found the time to work on animating my visual guide. Expect to gain an intuitive understanding of this alternative LLM architecture.
Link below 👇
I wanted to do it for a while now and finally found the time to work on animating my visual guide. Expect to gain an intuitive understanding of this alternative LLM architecture.
Link below 👇
March 21, 2025 at 3:40 PM
Happy to introduce my video on this alternative LLM architecture, Mamba and State Space Models!
I wanted to do it for a while now and finally found the time to work on animating my visual guide. Expect to gain an intuitive understanding of this alternative LLM architecture.
Link below 👇
I wanted to do it for a while now and finally found the time to work on animating my visual guide. Expect to gain an intuitive understanding of this alternative LLM architecture.
Link below 👇
Announcing BERTopic v0.17 🥳
This is a feature-packed update that includes the amazing Model2Vec, more interactive DataMapPlot functionalities, a method for lightweight installation, and much more!
This is a feature-packed update that includes the amazing Model2Vec, more interactive DataMapPlot functionalities, a method for lightweight installation, and much more!
March 19, 2025 at 5:09 PM
Announcing BERTopic v0.17 🥳
This is a feature-packed update that includes the amazing Model2Vec, more interactive DataMapPlot functionalities, a method for lightweight installation, and much more!
This is a feature-packed update that includes the amazing Model2Vec, more interactive DataMapPlot functionalities, a method for lightweight installation, and much more!
Introducing "A Visual Guide to LLM Agents" 🤖
With over 60 (!) custom visuals, explore how Agents work, how they are created, their reasoning behavior, Model Context Protocol (MCP), Multi-Agent frameworks, and much more!
Link below 👇
With over 60 (!) custom visuals, explore how Agents work, how they are created, their reasoning behavior, Model Context Protocol (MCP), Multi-Agent frameworks, and much more!
Link below 👇
March 17, 2025 at 3:57 PM
Introducing "A Visual Guide to LLM Agents" 🤖
With over 60 (!) custom visuals, explore how Agents work, how they are created, their reasoning behavior, Model Context Protocol (MCP), Multi-Agent frameworks, and much more!
Link below 👇
With over 60 (!) custom visuals, explore how Agents work, how they are created, their reasoning behavior, Model Context Protocol (MCP), Multi-Agent frameworks, and much more!
Link below 👇
MCP is such an interesting protocol and a welcome addition to LLM-based frameworks.
March 14, 2025 at 4:05 PM
MCP is such an interesting protocol and a welcome addition to LLM-based frameworks.
I discuss Model Context Protocol (MCP) in an upcoming article and figured I would share a small video illustrating a simplified flow!
March 14, 2025 at 4:05 PM
I discuss Model Context Protocol (MCP) in an upcoming article and figured I would share a small video illustrating a simplified flow!
As a bonus, I created a lightweight installation of KeyBERT using ONLY scikit-learn and Model2Vec! Installation is straightforward:
February 19, 2025 at 3:36 PM
As a bonus, I created a lightweight installation of KeyBERT using ONLY scikit-learn and Model2Vec! Installation is straightforward:
Blazingly fast keyword generation with KeyBERT v0.9 and Model2Vec 🔥
I have been a big fan of the amazing embedding models by The Minish Lab, so I had to integrate them with KeyBERT.
A release for the GPU-poor 😉
I have been a big fan of the amazing embedding models by The Minish Lab, so I had to integrate them with KeyBERT.
A release for the GPU-poor 😉
February 19, 2025 at 3:36 PM
Blazingly fast keyword generation with KeyBERT v0.9 and Model2Vec 🔥
I have been a big fan of the amazing embedding models by The Minish Lab, so I had to integrate them with KeyBERT.
A release for the GPU-poor 😉
I have been a big fan of the amazing embedding models by The Minish Lab, so I had to integrate them with KeyBERT.
A release for the GPU-poor 😉
To Reasoning LLMs and DeepSeek-R1:
February 11, 2025 at 4:23 PM
To Reasoning LLMs and DeepSeek-R1:
There are also guides to common principles like Quantization and Mixture of Experts:
February 11, 2025 at 4:23 PM
There are also guides to common principles like Quantization and Mixture of Experts:
@jayalammar.bsky.social and I are incredibly proud to bring you this highly animated (and free 😉) course:
February 11, 2025 at 4:23 PM
@jayalammar.bsky.social and I are incredibly proud to bring you this highly animated (and free 😉) course:
Did you know we continue to develop new content for the "Hands-On Large Language Models" book?
There's now even a free course available with
@deeplearningai.bsky.social!
There's now even a free course available with
@deeplearningai.bsky.social!
February 11, 2025 at 4:23 PM
Did you know we continue to develop new content for the "Hands-On Large Language Models" book?
There's now even a free course available with
@deeplearningai.bsky.social!
There's now even a free course available with
@deeplearningai.bsky.social!
All the way to DeepSeek-R1-(zero):
February 3, 2025 at 3:51 PM
All the way to DeepSeek-R1-(zero):
From exploring verifiers for distilling reasoning:
February 3, 2025 at 3:51 PM
From exploring verifiers for distilling reasoning:
A Visual Guide to Reasoning LLMs 💭
With over 40 custom visuals, explore DeepSeek-R1, the train-time compute paradigm shift, test-time compute techniques, verifiers, STaR, and much more!
Link below
With over 40 custom visuals, explore DeepSeek-R1, the train-time compute paradigm shift, test-time compute techniques, verifiers, STaR, and much more!
Link below
February 3, 2025 at 3:51 PM
A Visual Guide to Reasoning LLMs 💭
With over 40 custom visuals, explore DeepSeek-R1, the train-time compute paradigm shift, test-time compute techniques, verifiers, STaR, and much more!
Link below
With over 40 custom visuals, explore DeepSeek-R1, the train-time compute paradigm shift, test-time compute techniques, verifiers, STaR, and much more!
Link below
I'm incredibly grateful that "Exploring Language Models" has reached over 10k subscribers🔥
A big thank you to all readers who have enjoyed my visual guides to Mixture of Experts (MoE), Quantization, State Space Models (SSMs) and Mamba 🤗
A big thank you to all readers who have enjoyed my visual guides to Mixture of Experts (MoE), Quantization, State Space Models (SSMs) and Mamba 🤗
January 20, 2025 at 3:42 PM
I'm incredibly grateful that "Exploring Language Models" has reached over 10k subscribers🔥
A big thank you to all readers who have enjoyed my visual guides to Mixture of Experts (MoE), Quantization, State Space Models (SSMs) and Mamba 🤗
A big thank you to all readers who have enjoyed my visual guides to Mixture of Experts (MoE), Quantization, State Space Models (SSMs) and Mamba 🤗
I started working on animating "A Visual Guide to Mamba" and it's been a blast.
Perhaps I should just add animations as a default to upcoming visual guides 😉
Perhaps I should just add animations as a default to upcoming visual guides 😉
December 18, 2024 at 3:57 PM
I started working on animating "A Visual Guide to Mamba" and it's been a blast.
Perhaps I should just add animations as a default to upcoming visual guides 😉
Perhaps I should just add animations as a default to upcoming visual guides 😉
All the way up to BitNet 1.58b with Bitlinear:
November 12, 2024 at 3:40 PM
All the way up to BitNet 1.58b with Bitlinear:
We start with the basics of quantization like the absmax method:
November 12, 2024 at 3:40 PM
We start with the basics of quantization like the absmax method:
Next up, "A Visual Guide to Quantization"!
Over 60 custom visuals explaining quantization of LLMs.
Explore (a)symmetric quantization, dynamic/static quantization, post-training techniques (e.g., GPTQ and GGUF), quantization-aware training (e.g., BitNet 1.58b), and more!
#llms #ai
Over 60 custom visuals explaining quantization of LLMs.
Explore (a)symmetric quantization, dynamic/static quantization, post-training techniques (e.g., GPTQ and GGUF), quantization-aware training (e.g., BitNet 1.58b), and more!
#llms #ai
November 12, 2024 at 3:40 PM
All the way up to the Mamba block:
November 1, 2024 at 3:29 PM
All the way up to the Mamba block:
Starting from state space models and how they work:
November 1, 2024 at 3:29 PM
Starting from state space models and how they work: