Notes on software development, machine learning, and engineering.
The demo behind each project card on my site doesn't exist until you ask for it, and stops existing twenty minutes later. This is the machinery behind that button: an ephemeral environment per session, a subdomain pool, a gateway, a reaper that had to be rebuilt, and the bugs that only showed up in production.
I came back to writing by building something: a bilingual RAG chatbot over this blog's posts, 100% local, $0 in API costs, deployed as an ephemeral demo. Architecture, threshold calibration, CPU performance, and the bugs that taught more than the happy path.
Introduction Hello, asyncio enthusiasts! If you've been following along, you'll remember that we recently dived into the basics of Python's asyncio library in our previous blog post. We explored the f…
Introduction In the evolving world of Python programming, understanding the asyncio library is becoming increasingly important. asyncio allows for asynchronous, concurrent, and parallel programming in…
Table of Contents Introduction Input Embedding Positional Encoding (PE) The Encoder Self-attention Mecanism Multi-head attention mechanism Feedforward Network The Decoder Masked Multi-head Attention M…
Table of Contents memory_profilerPySpyDISassemblingFinal Recommendations memory_profiler Similar to line_profiler, memory_profiler provides detailed memory usage measurements, with the aim of efficien…
Table of Contents cProfileSnakeViz, for cProfile insightsLine-by-line ProfilingAbout @profile decoratorOther useful toolsgprof2dotPyinstrumentConclusionAppendixInstall with pip or conda cProfile The P…
Table of Contents IntroductionTime Profiling Toolsfunctools.wrapstimeit moduletime / gtimeConclusion Introduction Many times, the code we write requires optimizations, and profiling helps us find the …
One of the most known algorithms used by spell checkers and auto-complete fields is perhaps the Levenshtein algorithm, which basically minimizes the Levenshtein distance between the target word and th…
The purpose of this document is to present the linear classification algorithm SVM. The development of this concept has been based on previous ideas that have supported the development of SVM as an al…
(GitHub Repo: https://github.com/alulema/DDD-CleanArchitectureTemplate) These last 10 months I’ve been delighted working with ASP.NET Core, considering the improvements made by Microsoft to this frame…
(GitHub Repo: https://github.com/alulema/SudokuSolverNet) I was revisiting a couple of basic AI concepts: Depth First Search and Constraint Propagation, and I found a very good explanation …
TensorFlow has several high-level libraries allowing us to reduce time modeling all with core code. TF Estimator makes it simple to create and train models for training, evaluating, predicting and exp…
In my two previous posts, we saw how we can perform Linear Regression using TensorFlow, but I’ve used Linear Least Squares Regression and Cholesky Decomposition, both them use matrices to resolve regr…
beenhereUpdate 10.2023This entry has been updated with versions TensorFlow 2.12.1 and PyTorch 2.0.1 Several years have already passed since the onset of the Deep Learning boom. I have witnessed impres…
Linear Least Squares Regression is by far the most widely used regression method, and it is suitable for most cases when data behavior is linear. By definition, a line is defined by the following equa…
In my previous post, I mentioned 3 loss functions, which are mostly intended to be used in Regression models. This time, I’m going to talk about Classification Loss Functions, which are going to be us…
Implementing Loss Functions is very important to machine learning algorithms because we can measure the error from the predicted outputs to the target values. Algorithms get optimized by evaluating ou…
beenhereUpdate 09.2022This entry has been updated to TensorFlow v2.10.0 and PyTorch 1.12.1 Table of Contents What is an activation function?Activation FunctionsSigmoidReLU (Rectified Linear Unit)ReLU6…
Matrices are the basic elements we use to interchange data through computational graphs. In general terms, a tensor can de defined as a matrix, so you can refer to Declaring tensors in TensorFlow in o…
Usually, when we start using TensorFlow, it’s very common to think that defining variables is just as trivial as a HelloWorld program, but understanding how variables (and placeholders) work under the…
[Requirement: Tensorflow and NumPy installed on Python +3.5][Requirement: import tensorflow as tf][Requirement: import numpy as np] Tensors are the primary data structure we use in TensorFlow, and, as…
First, let’s define what a stream is in Java 8: a sequence of functions, actions, inputs, and outputs (better defined as a “pipeline”). Streams API provides functional-style operations to transform th…
BACKGROUND Usually many of us graduates from college have dreamed of working in a large company with great salary, prestige and traveling around the world; or maybe we’ve had the “million-dollar idea”…
This is my second video on gRPC, this time I was experiencing Node.js to make an app communicate with a gRPC .NET Core app. Here the details about Node.js implementation: https://youtu.be/3wa0bs_Jw6M…
When we are developing web solutions consisting of several projects, it is very common communicate between each other, and the common solutions are proprietary solutions (like .NET Remoting), or …
In one of my latest developments I needed to have a local Redis for caching requirements. I feel comfortable on terminal/command line, so it wasn’t hard to have an Ubuntu VM on VirtualBox, and it is v…
Now, we continue with the series ASP.NET Core Basics. At this time we are been focused in MVC specific topics, which will be covered in a 7 mins video. Contents: MVC. ControllersMVC. Models …
It is very common requiring MS SqlServer if you are developing ASP.NET web applications; because of this, having a local Sql Server is a great plus if you are developing web apps on ASP.NET Core on Ma…
I’m starting this blog with a series of videos focused on ASP.NET Core. This tutorial has been completely developed on C# + Visual Studio Code + Mac OSX, but (almost) all commands and concepts are ful…
