Gilles Closset

RAG vs. Fine-Tuning Choosing the Right Method for External Knowledge In AI development, incorporating proprietary data and external knowledge is crucial. Two key methodologies are Retrieval Augmented Generation (RAG) and fine-tuning. Here’s a quick comparison. 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) 🔍 RAG combines an LLM’s reasoning with external knowledge through three steps:1️⃣ Retrieve: Identify related documents […]

LLM (Large Language Model) has undoubtedly been one of the most buzzing topics over the past two years, since the release of ChatGPT by OpenAI. 𝗧𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀 𝗼𝗳 𝗟𝗟𝗠𝘀 Large Language Models are essentially sophisticated AI systems designed to understand and generate human-like text. What makes them large” is the sheer volume of data they’re

Machine Learning is as of today the AI sub-field that is the most widely implemented in production workloads. It is not what makes all the buzz these days, but that’s why I wanted to start with it. Ever wondered how machines can predict trends, classify images, or make decisions in complex environments? 🤖 What is