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Welcome to my blog! I'm a seasoned Software Engineer with over 20 years of experience in the tech industry. My passion lies in writing about the latest advancements in technology and sharing my insights through public speaking. I envision a world where technology is accessible to everyone and understood as deeply as by those who create it. Join me on this journey as we explore the fascinating world of technology together.
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120+ AI Tools That Are Transforming 12 Professions in 2026
Top AI Tools Boosting Productivity Across 12 Professional Fields Artificial intelligence (AI) has become a driving force behind productivity gains in nearly every domain of work. Generative AI in particular is expected to automate 60–70% of routine tasks, potentially raising labor productivity by an estimated 0.5%–3.4% annually by 2040. In this context, experts have identified…
L’IA a inversé la pyramide du pouvoir : pourquoi l’individu gagne (pour l’instant)
L’Inversion du Paradigme de Diffusion Technologique : L’IA Générative comme Vecteur d’Émancipation Individuelle et Défi de Souveraineté Organisationnelle La trajectoire historique des technologies de rupture a longtemps obéi à un schéma de diffusion descendante, où l’innovation, initialement confinée à des domaines régaliens, militaires ou de recherche fondamentale, finit par percoler vers le secteur privé avant…
The Yin and the Yang of the Fintech Ecosystem : How AI, Agentic Systems, and Blockchain Are Quietly Re-Architecting Banking
The Yin and the Yang of the Fintech Ecosystem : How AI, Agentic Systems, and Blockchain Are Quietly Re-Architecting Banking The Structural Transformation of Global Financial Systems The global financial landscape is currently undergoing a structural metamorphosis, transitioning from traditional digital banking models into an era defined by agentic autonomy and decentralized verification. This evolution…
Retrieval-Augmented Generation (RAG) in Banking: Architecture and Implementation
From Hallucination to Grounded AI: Deploying RAG in Banking Introduction Banking is a domain where information accuracy, up-to-date data, and compliance are paramount. Yet traditional large language models (LLMs) on their own often struggle with these requirements – they only know what’s in their training data (which may be outdated) and can “hallucinate” confidently incorrect…
Step-by-Step Guide to Building Your Own Large Language Model
LLMs Demystified: Pre-Training, Fine-Tuning, and Human Feedback Explained Developing a Large Language Model (LLM) is a complex, multi-stage process. At a high level, it involves an initial pre-training phase (where the model learns general language patterns from massive datasets) and a subsequent post-training or alignment phase (where the model is fine-tuned and taught to follow…