Here You’ll Find Our Insights On AI Technology

and other stuff we like writing about
July 7, 2023

Streaming pipeline using Kafka

Build a real-time streaming pipeline with Apache Kafka and Amazon MSK. Learn how to generate, ingest, and process streaming data using Python and Kafka. Enable real-time processing, machine learning integration, and intelligent decision-making in your applications.
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May 24, 2023
5 things that LangChain is useful for

Exploring LangChain, an open-source project that is revolutionizing the capabilities of language models. It offers seamless model switching, simplified prompt management, interactive capabilities, memory enhancement, and efficient knowledge extraction. With its versatility and growing community support, LangChain it is a game-changer for language model-powered applications.

Valeria Romero
May 3, 2023
5 things you should know about pandas 2.0

On this article, you will find an overview of the new features and improvements introduced in Pandas 2.0, that can greatly improve data processing, analysis, and visualization workflows

Valeria Romero
February 28, 2023
Using ChatGPT as an Assistant Chatbot: are we there yet?

Exploring the possibility of using ChatGPT or DaVinci as a sales assistant chatbot on an eCommerce store, without the API for external integration.

Marcelo Ortega
February 7, 2022
Measuring objects with Computer Vision and 3D reconstruction

On this article you will learn how to generate a 3D reconstruction from a set of images using Meshroom, and make real-world measurements with it

Marcelo Ortega
April 16, 2021
What Happened at the 2021 NVIDIA GTC?

A review of what was unveiled at this year’s NVIDIA GPU Technology Conference, and what was said about Deep Learning and AI during its sessions

Marcelo Ortega
March 22, 2020
Training on Detectron2 with a Validation set, and plot loss on it to avoid overfitting

From my experience with using the Detectron2 library for object detection and training machine learning models, here's an explanation on how to split a dataset into test, train, and validation sets, register metadata for each, and monitor accuracy on validation while training.

Marcelo Ortega

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