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Dr. Carlos Ruiz Viquez

Dr. Carlos Ruiz Viquez is a distinguished AI Researcher and a leading voice in AI and Digital Transformation topics

Education

MIT, ITESM, IPN

Transformers: A New Era in Deep Learning - A Slightly Skepti

Transformers: A New Era in Deep Learning - A Slightly Skepti

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2 min read
**Avoiding the Pitfall of Asynchronous Gradients in Distribu

**Avoiding the Pitfall of Asynchronous Gradients in Distribu

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2 min read
**Fine-Tuning LLMs: A Tale of Two Approaches**

**Fine-Tuning LLMs: A Tale of Two Approaches**

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**Mejora en la Prevención del Lavado de Dinero mediante Inte

**Mejora en la Prevención del Lavado de Dinero mediante Inte

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**Prevención de Lavado de Dinero en México: Un enfoque de au

**Prevención de Lavado de Dinero en México: Un enfoque de au

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**The Rise of "Inclusive Autonomy": A New Paradigm in AI Gov

**The Rise of "Inclusive Autonomy": A New Paradigm in AI Gov

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**Fine-Tuning a Low-Resource LLM for Multimodal Translation:

**Fine-Tuning a Low-Resource LLM for Multimodal Translation:

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**"The Unseen Power of Edge Computing in Computer Vision: Un

**"The Unseen Power of Edge Computing in Computer Vision: Un

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**Myth:** LLMs are more intelligent than humans and will eve

**Myth:** LLMs are more intelligent than humans and will eve

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Measuring Success in Autonomous Systems: Embracing the Epsil

Measuring Success in Autonomous Systems: Embracing the Epsil

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**Sujetos obligados y actividades vulnerables en la Ley Fede

**Sujetos obligados y actividades vulnerables en la Ley Fede

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**Monitoreo Transaccional con IA/ML: Un Enfoque Práctico par

**Monitoreo Transaccional con IA/ML: Un Enfoque Práctico par

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**Quantifying the Unintended: A Key Metric for Autonomous Sy

**Quantifying the Unintended: A Key Metric for Autonomous Sy

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Multimodal AI: Tapping the Power of Unseen Data Sources"

Multimodal AI: Tapping the Power of Unseen Data Sources"

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As we delve into the realm of quantum machine learning (QML)

As we delve into the realm of quantum machine learning (QML)

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**Automated Hyperparameter Tuning using Optuna and Kuberente

**Automated Hyperparameter Tuning using Optuna and Kuberente

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**Recent Breakthrough in Reinforcement Learning: Efficient E

**Recent Breakthrough in Reinforcement Learning: Efficient E

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**Unpacking the Limitations of Large Language Models in High

**Unpacking the Limitations of Large Language Models in High

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Recientemente, en el marco de la reforma a la Ley Federal de

Recientemente, en el marco de la reforma a la Ley Federal de

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**Reportes de operaciones inusuales y relevantes: evitando e

**Reportes de operaciones inusuales y relevantes: evitando e

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**Unlocking the Full Potential of AI Sports Coach: Leveragin

**Unlocking the Full Potential of AI Sports Coach: Leveragin

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**Adaptive Multimodal Control in Dynamic Environments**

**Adaptive Multimodal Control in Dynamic Environments**

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**"The Silent Observer: How Edge AI Can Revolutionize Inpati

**"The Silent Observer: How Edge AI Can Revolutionize Inpati

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**Unlocking the Power of MLflow: Simplifying MLOps for Edge

**Unlocking the Power of MLflow: Simplifying MLOps for Edge

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**The Unseen Bias in Human Evaluation: A Key Finding in AI E

**The Unseen Bias in Human Evaluation: A Key Finding in AI E

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Las reformas a la Ley Federal de Prevención e Identificación

Las reformas a la Ley Federal de Prevención e Identificación

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**Cumplimiento de PLD en México: automatización de reportes

**Cumplimiento de PLD en México: automatización de reportes

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Recent research in fine-tuning LLMs has shed light on the co

Recent research in fine-tuning LLMs has shed light on the co

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Transforming Weather Forecasting with Transformers: The Tale

Transforming Weather Forecasting with Transformers: The Tale

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**The Pitfall of Over-Confident Synthetic Data: A Cautionary

**The Pitfall of Over-Confident Synthetic Data: A Cautionary

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En el plazo de 1-2 años, es probable que el cumplimiento de

En el plazo de 1-2 años, es probable que el cumplimiento de

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**Predictive Analytics for Hospital Readmissions: A Triumph

**Predictive Analytics for Hospital Readmissions: A Triumph

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El cumplimiento normativo en materia de Prevención de Lavado

El cumplimiento normativo en materia de Prevención de Lavado

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Según un informe del Banco de México (2022), alrededor de 4

Según un informe del Banco de México (2022), alrededor de 4

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Title: Taming the Wildflower: How to Optimize AI Model Perfo

Title: Taming the Wildflower: How to Optimize AI Model Perfo

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**Uncovering the Hidden Gem: Netflix's Pytorch-MOBILEBERT**

**Uncovering the Hidden Gem: Netflix's Pytorch-MOBILEBERT**

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**Adversarial Data Generation Using Normalizing Flows**

**Adversarial Data Generation Using Normalizing Flows**

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**Unifying the Gap: A Practical Tip for AI in Media Practiti

**Unifying the Gap: A Practical Tip for AI in Media Practiti

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**Measuring Success in Federated Learning: A Novel Approach*

**Measuring Success in Federated Learning: A Novel Approach*

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**Responsible AI Pledge**

**Responsible AI Pledge**

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**The Rise of Meta-Learned Reinforcement Learning Agents**

**The Rise of Meta-Learned Reinforcement Learning Agents**

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**Predicting Hospital Readmission using Recurrent Neural Net

**Predicting Hospital Readmission using Recurrent Neural Net

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**Mito/Realidad: Cumplimiento PLD en México**

**Mito/Realidad: Cumplimiento PLD en México**

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**Tip Práctico de Cumplimiento PLD en México**

**Tip Práctico de Cumplimiento PLD en México**

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**Practical Tip: Synthetic Data for Imbalanced Datasets**

**Practical Tip: Synthetic Data for Imbalanced Datasets**

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**Optimizing Video Compression for Efficient AI Model Traini

**Optimizing Video Compression for Efficient AI Model Traini

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1 min read
Case Study: Predictive Maintenance for Wind Turbines using S

Case Study: Predictive Maintenance for Wind Turbines using S

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**Generative AI Face-Off: VAEs vs

**Generative AI Face-Off: VAEs vs

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**Data Parallelism: A Key to Efficient Distributed Training*

**Data Parallelism: A Key to Efficient Distributed Training*

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**Myth:** Neural Networks Only Thrive on High-Computational

**Myth:** Neural Networks Only Thrive on High-Computational

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**Fine-Tuning LLMs: The Rise of 'Synthetic' Transfer Learnin

**Fine-Tuning LLMs: The Rise of 'Synthetic' Transfer Learnin

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**The Hidden Patterns of Multimodal Learning: Understanding

**The Hidden Patterns of Multimodal Learning: Understanding

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As we continue to push the boundaries of artificial intellig

As we continue to push the boundaries of artificial intellig

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**The Hidden Pitfall of Over-Specificity in Prompt Engineeri

**The Hidden Pitfall of Over-Specificity in Prompt Engineeri

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2 min read
**Unlocking the Potential of DALL-E 2 Alternatives: A Closer

**Unlocking the Potential of DALL-E 2 Alternatives: A Closer

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Myth: The Transformer architecture discovered by Google in 2

Myth: The Transformer architecture discovered by Google in 2

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Code Snippet:

Code Snippet:

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**Tuning Transformer Embeddings for Sparse Sequences**

**Tuning Transformer Embeddings for Sparse Sequences**

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**Technical Distributed Training Challenge: "Asynchronous Fe

**Technical Distributed Training Challenge: "Asynchronous Fe

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2 min read
**Optimizing Battery Recycling with Reinforcement Learning**

**Optimizing Battery Recycling with Reinforcement Learning**

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