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.
Blog
Articles · Recent Articles
What is RAG?
Retrieval-Augmented Generation explained: how connecting an LLM to an external knowledge base produces grounded, up-to-date and verifiable answers.
What are AI Agents?
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.
What are Embeddings?
Embeddings turn text, images and other data into vectors that capture meaning, making semantic search and RAG possible.
What are Transformers?
The Transformer architecture and its attention mechanism are the foundation behind modern LLMs. Here is the intuition in plain terms.
Vectors and Vector Databases
Vectors are how AI represents data numerically, and vector databases let you search millions of them by similarity — the storage layer behind RAG.
Northern Region Innovation Hackathon at UDEP (KOICA)
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 | Django | Postgres
Full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database ...