Articles sur le LLM

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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 août 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 janvier 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 août 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 août 2024

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 décembre 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 février 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 mai 2026