Tag Archives: Machine Learning

Leveraging Internal Generative Models: Unleashing the Power of Proprietary Data

Introduction In recent years, generative models have transformed the landscape of Artificial Intelligence (AI) and Natural Language Processing (NLP). One remarkable example is the GPT (Generative Pre-trained Transformer) series of models developed by OpenAI. These models have demonstrated the ability … Continue reading

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Prompt Engineering is not a Profession

Prompt Engineering is not a profession. Prompt Engineering is a skill. It is the ability to write effective prompts for Generative Models like ChatGPT, and it can be potentially useful in many professions. In the same way that millions of … Continue reading

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ChatGPT Limitations: The Long-Tail Case

In this post, I would like to add one observation about Google vs ChatGPT. We need to understand that ChatGPT is just a language model and not a knowledge model or a conceptual model. Thus, it only captures relationships between … Continue reading

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Applications of Machine Learning INDT Webinar

This week I had the pleasure to be invited by the INDT (National Institute for Technological Development) in Brazil to participate in a webinar about Artificial Intelligence (in Portuguese). In the slides and video below, I present several applications of … Continue reading

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Applications of Machine Learning

Last month I had the pleasure to be invited by the Brazil-Israel (BRIL) Chamber of Commerce to participate in a webinar about Artificial Intelligence (in Portuguese). In the slides and video below, I present several applications of Machine Learning and … Continue reading

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Automated Machine Learning

This week I was invited to give a talk at the Haifa Tech Talks meetup. In this talk I presented an introduction to Automated Machine Learning (Auto ML). I discussed some approaches to face the challenges of Auto ML, including … Continue reading

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Data Science: Set Similarity Metrics

In this article I would like to present several metrics to calculate the similarity between sets of items. I’ve been analyzing diverse metrics as part of an investigation I’m doing to improve the targeting of digital advertising campaigns. These set … Continue reading

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Data Science vs. Software Engineering

The work of a Software Engineer is to analyze a problem, think about a good solution, design it, implement it and then test it. Software Engineers do problem-solving. The work of the Software Engineer ends when he finishes implementing the … Continue reading

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When Machines Learn: Predictive Analytics

In 1983, when I was 13, I got my first personal computer. It was a Brazilian CP-500 (in the picture on the right). I was one of the first kids in my class to have a computer at home, and … Continue reading

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