LiLModinArtificial Intelligence in Plain EnglishGraphRAG vs RAG, the ultimate use-caseIn this article we will review together a new type of RAG: GraphRAG. From implementation to comparaison with common RAG method. Ready ?Jul 2Jul 2
LiLModinArtificial Intelligence in Plain EnglishDecoding the GPT Model: What you need to know — PART IILooking to understand the inner workings of a major language model? You are in the right place. ☺Jun 18Jun 18
LiLModYou know streamlit, gradio ? Say Hi to Mesop by GoogleMesop is a new UI framework that enables Python developers to quickly create enjoyable web applications in a scalable way. Many Python UI…Jun 113Jun 113
LiLModinArtificial Intelligence in Plain EnglishManual scrapping seems to be far now. (Fundus, Tavily, …)As Data Scientists, our journey are focused on different part. One of them is scrapping data from external sources to augment or complete…May 23May 23
LiLModDecoding the GPT Model: What you need to know — PART ILooking to understand the inner workings of a major language model? You are in the right place. ☺May 17May 17
LiLModinArtificial Intelligence in Plain EnglishCommand R: A Scalable LLM Tailored for Business NeedsIn this article, we’re going to explore a generative model that everyone’s been talking about lately: Command R.Apr 16Apr 16
LiLModEvaluate your LLM model with one click using GiskardIn this article we will go through a new package, Giskard, that will help you to easily evaluate your LLM. Apr 92Apr 92
LiLModPocket-Sized Solutions: Navigating framework choices for your LLM ProjectIn the ever-evolving landscape of artificial intelligence, Large Language Models (LLMs) have emerged as powerful tools for a variety of…Apr 2Apr 2
