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Mantente al día en el mundo de la IA
En Pento compartimos perspectivas, casos de éxito e ideas sobre inteligencia artificial y machine learning para empresas. Los artículos están escritos en inglés.
How We Co-Built miniCOIL EN-ES with Qdrant
Search is one of Pento's core practices. Training our team in AI-powered search led us to co-build miniCOIL EN-ES with Qdrant, a sparse retriever that matches English and Spanish in a single index.
Computer vision en producción
Una mirada de cerca a cómo el computer vision pasa de la experimentación a operaciones reales en retail, logística y manufactura.
Object detection: An overview with code examples
Learn what object detection is and how it has evolved. Take a look at some of the most common and practical use cases. Code included.
Computer Vision in Manufacturing: The 4th Industrial Revolution
Computer Vision is revolutionizing Manufacturing. Learn how it is powering the next generation of manufacturers and establishing the 4IR.
Computer vision in retail: Top 7 applications that are transforming the industry
The future of retail is here with Computer Vision. Learn how retailers use it to improve shopping experiences, manage stock and more.
Explora todos los artículos
How We Co-Built miniCOIL EN-ES with Qdrant
ACP vs UCP: Which Agentic Commerce Protocol Should You Build For in 2026?
From Agent Harnesses to Software Factories
Clustering Algorithms Compared: How to Choose the Right One
Shipping AI Agents to Production: A 2026 Context Engineering Recipe Book
Agentic Commerce in 2026: How to Win the Agentic Shift
Archivo de artículos
Todos los artículos que publicamos, del más reciente al más antiguo.
- How We Co-Built miniCOIL EN-ES with QdrantIA y machine learning
- ACP vs UCP: Which Agentic Commerce Protocol Should You Build For in 2026?IA en los negocios
- From Agent Harnesses to Software FactoriesIA generativa
- Clustering Algorithms Compared: How to Choose the Right OneIA y machine learning
- Shipping AI Agents to Production: A 2026 Context Engineering Recipe BookIA generativa
- Agentic Commerce in 2026: How to Win the Agentic ShiftIA en los negocios
- From Research Paper to Production with the AlphaXiv MCP: Closing the Research-Implementation GapIA y machine learning
- How We Improved Demand Forecasting Accuracy by 25% Using AIIA en los negocios
- A Year of MCP: From Internal Experiment to Industry StandardIA generativa
- BFCM 2026: How Retailers Use AI to Prevent Stockouts, Search Failures & Lost SalesIA en los negocios
- How Pento Modeled Aesthetic Taste with QdrantIA y machine learning
- Semantic Search: Revolutionizing Ecommerce Sales Conversion with Cost-Efficiency and Metadata-Free AdvantagesIA en los negocios
- Computer Vision in e-commerce: 5 ways it is transforming online shoppingInteligencia de negocios
- Object detection: An overview with code examplesComputer vision
- Welcome, Vectory: Handle embedding experiments faster and smarterComputer vision
- PyTorch Metric Learning: An opinionated reviewMachine learning
- Enhancing Image Quality with Visual AI: How does it work?Computer vision
- Computer Vision in Manufacturing: The 4th Industrial RevolutionComputer vision
- Computer vision in retail: Top 7 applications that are transforming the industryInteligencia de negocios
- Pytorch metric learning, Part II: Analyzing embeddings with VectoryMachine learning
- Taking advantage of unlabeled data and image embeddingsComputer vision
- Structuring your Python machine learning projects: An opinionated reviewMachine learning
- Bootstrap your own Handler: How and why to create custom handlers for PyTorch's TorchServeComputer vision
- Scaling Computer Vision models with DataflowComputer vision
- Terran's face recognition meets Streamlit ComponentsComputer vision
- Introducing Terran: A human perception libraryComputer vision
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