Catégorie : Article IA
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Raisonnement par chaîne de pensée (Explication simple)
What is Chain-of-thought reasoning (CoT)? “Chain of thought (CoT) mirrors human reasoning, facilitating systematic problem-solving through a coherent series of logical deductions”. IBM: https://www.ibm.com/think/topics/chain-of-thoughts Essentially, CoT encourages an AI model to take intermediate steps before getting to the final answer. Instead of going straight to the solution, the model will explain its thought process in…
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L'apprentissage à partir de zéro (expliqué simplement)
Qu'est-ce que l'apprentissage à partir de zéro (ZSL) ? L'apprentissage à partir de zéro (ZSL) est une approche d'apprentissage automatique qui permet aux modèles de reconnaître et de catégoriser des éléments qu'ils n'ont jamais vus auparavant sans avoir besoin d'exemples étiquetés de ces nouveaux éléments au cours de la formation. Contrairement à l'apprentissage supervisé qui nécessite un grand nombre de données étiquetées, qui doivent être catégorisées explicitement, le ZSL utilise...
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Comprendre l'architecture des transformateurs en termes simples
What Are Transformers? Transformers are a type of neural network architecture named for their ability to “transform” how artificial intelligence (AI) processes sequences of data, especially text. Introduced by Google researchers in their 2017 paper, Attention Is All You Need, Transformers significantly improved Natural Language Processing (NLP) tasks by using a mechanism called Self-Attention (Golroudbari)….
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Qu'est-ce que le RAG et comment fonctionne-t-il ?
Retrieval-Augmented Generation (RAG) is an advanced technique in Generative AI that blends text generation with real-time information retrieval. Simply put, RAG allows AI models to access external databases or knowledge bases to fetch accurate and up-to-date information when generating responses. This ensures that the content produced is not only coherent but also factually correct and relevant to the…
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Qu'est-ce que l'IA générative (GenAI) ?
Generative AI refers to artificial intelligence systems that can create new content, understand human language, and analyze information. Example in Everyday Life: They are called “Generative” AI because they have the ability to generate new content rather than just analyzing or processing existing information. Breaking It Down Simply:Traditional AI systems focus on recognizing patterns and…
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Comprendre les grands modèles quantitatifs (LQM) en termes simples
A Large Quantitative Model (LQM) is an AI system that specializes in analyzing massive numerical datasets to find patterns and make predictions. Unlike Large Language Models (LLMs) that focus on text, LQMs handle numbers, statistics, and calculations. Think of Large Language Models (LLMs) => Language = words. Large Quantitative Model (LQM) => Quantity = number….
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Qu'est-ce que l'IA ?
Video from the Business Physics AI Lab Introduction Artificial Intelligence (AI) has emerged as one of the most transformative technologies of our time. To make sense of its role and potential, AI has often been compared to familiar metaphors: a know-it-all brother-in-law, a horse for a cowboy or cowgirl, and a super or power tool….
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