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Artículos LLM
Mantente al día de las últimas técnicas, herramientas e investigaciones en Modelos de Grandes Lenguajes. Nuestro blog habla de ciencia de datos, usos y prácticas responsables de IA.
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LLM Distillation Explained: Applications, Implementation & More
Distillation is a technique in LLM training where a smaller, more efficient model (like GPT-4o mini) is trained to mimic the behavior and knowledge of a larger, more complex model (like GPT-4o).
Stanislav Karzhev
28 de agosto de 2024
13 LLM Projects For All Levels: From Low-Code to AI Agents
Discover 13 LLM project ideas with easy-to-follow guides and code. Build RAG systems, AI apps, and autonomous agents using DeepSeek, LangGraph, and OpenAI.
Abid Ali Awan
28 de enero de 2026
What Are Vector Embeddings? An Intuitive Explanation
Vector embeddings are numerical representations of words or phrases that capture their meanings and relationships, helping machine learning models understand text more effectively.
Tom Farnschläder
13 de agosto de 2024
Mixture of A Million Experts (MoME): Key Concepts Explained
MoME (Mixture of Million Experts) is a scalable language model using Mixture of Experts (MoE) with a routing mechanism called PEER to efficiently utilize millions of specialized networks.
Bhavishya Pandit
13 de agosto de 2024
Top 35 AI Interview Questions and Answers For All Skill Levels in 2026
Ace your AI interview with our comprehensive guide. Explore technical and scenario-based questions and answers to increase confidence and unlock your potential.
Vinod Chugani
15 de enero de 2026
What Is OpenAI's Sora? How It Works, Examples, Features
Discover OpenAI’s Sora through example videos and explore its features, including Remix, Re-cut, Loop, Storyboard, Blend, and Style Preset.
Richie Cotton
Matt Crabtree
9 de diciembre de 2024
Everything We Know About GPT-5
Learn how GPT-5 will evolve into a unified system with advanced features, targeting a summer 2025 release, based on OpenAI’s latest roadmap and GPT history.
Josep Ferrer
21 de febrero de 2025
What Is Retrieval Augmented Generation (RAG)? A Complete Guide
Understand how RAG grounds LLM outputs in external data to reduce hallucinations, with a guide to the RAG pipeline, advanced techniques, and real-world applicat
Natassha Selvaraj
28 de mayo de 2026