Just a few years into the AI ​​transformation, there is no longer a talent gap among engineers. This is coordination: shared standards and a shared language for how AI fits …
Engineering
-
-
Image by editor # Introduction rise of large language model (LLM) like GPT-4, llamaAnd cloud Artificial intelligence has changed the world. These models can write code, answer questions, and summarize …
-
Data engineers are increasingly focused on one core problem: using AI to improve ETL and create reliable, production-grade pipelines without introducing new complexity. They need AI that truly streamlines workflows …
-
Author(s): Andrei Baslyga (Nikola) Originally published on Towards AI. A deep dive into an open-source kit that gives AI assistant agents a mind, a memory, and a “conscience.” “The agent …
-
Machine Learning
Spark Declarative Pipelines: Why Data Engineering Needs to Become End-to-End Declarative
Data engineering teams are under pressure to deliver high-quality data fast, but the job of building and operating pipelines is becoming harder, not easier. We interviewed hundreds of data engineers …
-
Last updated on February 21, 2026 by Editorial Team Author(s): Divya Yadav Originally published on Towards AI. Prompt engineering is dead. Reference engineering is how production systems work now. Your …
-
Generative AI
6 Essential Accelerated Engineering Techniques: How to Get 10× Better Results from a Same LLM
Last updated on February 21, 2026 by Editorial Team Author(s): Tanveer Mustafa Originally published on Towards AI. Understanding Zero-Shot, Few-Shot, Chain-of-Thought, Self-Consistency, Tree of Thoughts, and React You ask an …
-
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini “Reference Window” Economy In the world of large language models (LLM), attention is a finite currency. While the …
-
Last updated on February 19, 2026 by Editorial Team Author(s): Rizwanhoda Originally published on Towards AI. Inside vector databases: engineering high-dimensional search for modern AI systems The real disruptor in …
-