What are LLMs?
A short introduction to Large Language Models: what they are, how they are trained, and why they have become the backbone of modern AI applications.
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A short introduction to Large Language Models: what they are, how they are trained, and why they have become the backbone of modern AI applications.
Retrieval-Augmented Generation explained: how connecting an LLM to an external knowledge base produces grounded, up-to-date and verifiable answers.
An introduction to AI agents: LLMs that can plan, use tools and act in a loop to accomplish goals instead of just answering a single prompt.
Embeddings turn text, images and other data into vectors that capture meaning, making semantic search and RAG possible.
The Transformer architecture and its attention mechanism are the foundation behind modern LLMs. Here is the intuition in plain terms.
Vectors are how AI represents data numerically, and vector databases let you search millions of them by similarity — the storage layer behind RAG.
A quick recap of the Northern Region Innovation Hackathon hosted by the University of Piura with KOICA, where 30 students built IoT, immersive and mobile solutions for agroindustry, climate change and governance.
Full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database ...