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Stefano Bosisio

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Towards Data Science

Writing LLMs in Rust: Looking for an Efficient Matrix Multiplication

Here are the lessons I learned and how I am writing llm.rust and tackling the matrix multiplication problem

Nov 14

Writing LLMs in Rust: Looking for an Efficient Matrix Multiplication

Nov 14

Published in
Towards Data Science

Apache Beam: Data Processing, Data Pipelines, Dataflow and Flex Templates

In this first article, we’re exploring Apache Beam, from a simple pipeline to a more complicated one, using GCP Dataflow. Let’s learn what…

Feb 12

Apache Beam: Data Processing, Data Pipelines, Dataflow and Flex Templates

Feb 12

A Reverse-Engineer Approach to Explain Attention and Memory

In this post, I collected a lot of resources, to draw the history of attention, with example codes and attempts, as well as an attempt to…

Dec 8, 2023

A Reverse-Engineer Approach to Explain Attention and Memory

Dec 8, 2023

Discovering Dagster orchestrator and how to deploy workflows on Kubernetes

My weekend immersion in Dagster, from pipeline creation to Kubernetes set up, what I learned, what I loved, what I hated

Nov 24, 2023

Discovering Dagster orchestrator and how to deploy workflows on Kubernetes

Nov 24, 2023

Published in
Towards Data Science

Optimizing LLMs with C, and Running GPT, Llama, and Whisper on Your Laptop

In this first article, we’ll dive into ggml, the fantastic tensor library created by Georgi Gerganov. How does it work? How is the tensor…

Sep 23, 2023

Optimizing LLMs with C, and Running GPT, Llama, and Whisper on Your Laptop

Sep 23, 2023

Published in
Towards Data Science

Understanding DeepMind matrix multiplication

DeepMind matrix multiplications on NVIDIA V100, Tesla T4 and a look at FBHHRBNRSSSHK — which is not me typing random letters!

Feb 11, 2023

Understanding DeepMind matrix multiplication

Feb 11, 2023

Published in
Towards Data Science

Understanding DeepMind and Strassen algorithms

An introduction to the matrix multiplication problem, with applications in Python and JAX

Oct 22, 2022

Understanding DeepMind and Strassen algorithms

Oct 22, 2022

Published in
Towards Data Science

From Dev to Deployment: An End to End Sentiment Classifier App with MLflow, SageMaker, and…

In this tutorial, we’ll build an NLP app starting from DagsHub-MLflow, then diving into deployment in SageMaker and EC2 with the front end…

Sep 22, 2022

From Dev to Deployment: An End to End Sentiment Classifier App with MLflow, SageMaker, and…

Sep 22, 2022

Published in
Towards Data Science

Machine Learning and Rust (Part 4): Neural Networks in Torch

Can we use PyTorch in Rust? What are Rust bindings? What’s tch-rs? A look on neural networks in Rust

Aug 16, 2022

Machine Learning and Rust (Part 4): Neural Networks in Torch

Aug 16, 2022

Published in
Towards Data Science

The Bible under the NLP eye (Part 2)

The second part of our NLP exploration: Topic modelling, word embeddings and text similarity through TF-IDF and transfomers

Jun 3, 2022

The Bible under the NLP eye (Part 2)

Jun 3, 2022

Stefano Bosisio

Stefano Bosisio

Machine Learning Engineer, PhD in Computational Chemistry. My writing covers neuroscience research, coding tutorial and social-media analyses

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