Appetenza
To change the SSH access password on a CentOS 7 Linux system, you can follow these steps. Keep in mi...
Read More
Appetenza
The Large Language Model (LLM) is the generation engine in a Retrieval Augmented Generation (R...
Read More
Appetenza
Introduction In modern server environments, security is not optional. One of the most common and dangerous mistakes made on production servers is leaving unnecessary ports open to the public internet. Open ports are an open invitation for: Port scanning Brute‑force attacks ...
Read More
Appetenza
As Generative AI systems evolve beyond simple chat interfaces, modern software engineers are now required to reason about agents, memory, orchestration, retrieval pipelines, validation layers, and model specialization as first-class architectural concerns. What was once a monolithic “LLM app...
Read More
Appetenza
Retrieval Augmented Generation (RAG) systems bring immense value, but they can also become expensive at scale. Costs come from multiple sources: embedding generation, vector database storage, LLM inference, GPU infrastructure, and data processing pipelines. Without careful planning, operationa...
Read More
Appetenza
Retrieval Augmented Generation (RAG) systems are powerful, but they are not magic. Even well-designed pipelines can produce incorrect, incomplete, or misleading answers. Understanding how and why RAG systems fail is essential for building reliable production AI. Instead of blaming the langua...
Read More
Appetenza
Traditional Retrieval Augmented Generation (RAG) systems are designed to answer questions using external knowledge. They retrieve relevant documents and generate responses grounded in that context. While this is powerful, it limits the AI to being a passive information provider. Modern AI syst...
Read More
