⚡️Hudson Ⓜ️endes – Medium

⚡️Hudson Ⓜ️endes

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⚡️Hudson Ⓜ️endes

Get your App talking to ChatGPT in JSON in under 3 minutes

LLMs read and write plain text. But you can get them to output JSON. Learn how in under 3 minutes, with runnable code examples in Python…

Aug 4, 2023

Get your App talking to ChatGPT in JSON in under 3 minutes

Aug 4, 2023

⚡️Hudson Ⓜ️endes

AI Q&A: Text-Variational Auto-Encoders & Embedding Spaces Uniformity

This document records a conversation with ChatGPT about Text-Variational Auto-Encoders (Text VAE) and Embedding Spaces Uniformity with…

May 9, 2023

AI Q&A: Text-Variational Auto-Encoders & Embedding Spaces Uniformity

May 9, 2023

⚡️Hudson Ⓜ️endes

AI Q&A: Memory Networks vs Transformer's Self-Attention

This document records a conversation with ChatGPT comparing Memory Networks (Weston et al, 2015) and Transformer's Self-Attention(Vaswani…

May 2, 2023

AI Q&A: Memory Networks vs Transformer's Self-Attention

May 2, 2023

⚡️Hudson Ⓜ️endes

Entropy: a powerful property observed in Thermodynamics, Information Theory and Machine Learning

“The entropy of a message is a measure of its information content, analogous to the entropy of a thermodynamic system.” — Claude Shannon.

Feb 28, 2023

Entropy: a powerful property observed in Thermodynamics, Information Theory and Machine Learning

Feb 28, 2023

⚡️Hudson Ⓜ️endes

Text Processing: Sentence & Word Tokenisation, Stemming and Lemmatisation

“Data are represented in ways natural to problems from which they were derived”[1]. Consequently, it is not hard to understand that we…

Jan 17, 2023

Text Processing: Sentence & Word Tokenisation, Stemming and Lemmatisation

Jan 17, 2023

⚡️Hudson Ⓜ️endes

Fundamental Aspects of Language Modelling

Language Modelling is the process through which we produce a probabilistic model capable of estimating how likely an arbitrary sequence of…

Nov 15, 2022

Fundamental Aspects of Language Modelling

Nov 15, 2022

⚡️Hudson Ⓜ️endes

Data Pipeline for Data Science, Part 1: Problem/Solution Fit

Learn how to create Data Pipeline for Data Science through a step-by-step series that covers the end-to-end delivery of a Data Engineering…

Sep 16, 2020

Data Pipeline for Data Science, Part 1: Problem/Solution Fit

Sep 16, 2020

⚡️Hudson Ⓜ️endes

Data Pipeline for Data Science, Part 2: TMDb API Data“Crawler”

Distributed TMDb API Data Download using AWS Lambda.

Sep 16, 2020

Data Pipeline for Data Science, Part 2: TMDb API Data“Crawler”

Sep 16, 2020

⚡️Hudson Ⓜ️endes

Data Pipeline for Data Science, Part 3: Infrastructure As Code

Deploying AWS EC2 Machines, AWS Redshift, Apache Airflow using a a repeatable interactive process coded into an explanatory Jupyter…

Sep 16, 2020

Data Pipeline for Data Science, Part 3: Infrastructure As Code

Sep 16, 2020

⚡️Hudson Ⓜ️endes

Data Pipeline for Data Science, Part 4: Airflow & Data Pipelines

Deploy Operators and DAGs to a AWS hosted Apache Airflow and execute your Data Pipelines with DAG and Data Lineage Visualisation.

Sep 16, 2020

Data Pipeline for Data Science, Part 4: Airflow & Data Pipelines

Sep 16, 2020

⚡️Hudson Ⓜ️endes

⚡️Hudson Ⓜ️endes

⚡️Staff AI/ML Engineer & Senior Engineering Manager, #NLP, opinions are my own. https://linkedin.com/in/hudsonmendes

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