Generative AI & LLMsRAG (Retrieval-Augmented Generation) combines external knowledge bases with LLMs to eliminate hallucinations and overcome knowledge cutoff limitations. Essential for enterprise AI in 2026.
Generative AI & LLMsMCP is an open standard for integrating AI models with external tools and data sources. Developed by Anthropic in November 2024, it solves the N×M integration problem.
Machine Learning & Deep LearningFine-tuning is the process of further training a pre-trained AI model on a smaller, domain-specific dataset to adapt it for specific tasks. In 2026, parameter-efficient methods like LoRA and QLoRA dominate due to their cost-effectiveness and ability to reduce trainable parameters by 10,000x.
