Practical guides, tutorials, and expert analysis to master generative AI (Agents, Prompts, RAG, Tools, MCP, A2A, etc). Stay updated with the latest trends and best practices in AI/ML, GenAI, and NLP.
Complete guide to selecting between GPT-4o, Claude Sonnet 4.5, Llama based on your business needs, budget, and privacy requirements. Detailed comparison of performance, costs, and use cases.
Read ArticleIn-depth technical analysis of the advantages and disadvantages of RAG (Retrieval Augmented Generation) versus fine-tuning. Concrete examples and recommendations based on context.
Read ArticleDiscover 5 concrete AI automation applications suitable for SMBs with fast ROI: customer support, document analysis, content generation, sales prediction, logistics optimization.
Read ArticleEssential guide to protecting your sensitive data when implementing generative AI. Best practices, on-premise vs cloud solutions, GDPR compliance.
Read ArticleComplete tutorial for industrializing your AI models: CI/CD, monitoring, versioning, automatic scaling. Examples with AWS, Docker, and Kubernetes.
Read ArticleMaster next-generation AI integration with Model Context Protocol (MCP) and agentic architectures. Learn how to build autonomous systems that seamlessly connect LLMs to your tools and data sources.
Read ArticleLet's discuss your challenges and objectives. I'll guide you in defining and implementing your AI strategy.