Browsing: prompt

Prompt engineering interview questions will help the interviewer assess your skill level and likelihood of success in the role.

Three years ago, searching job boards for an “AI product manager” or “prompt engineer” returned virtually zero results. Today, tech employers list thousands of openings for specialized artificial intelligence roles, with demand for high-level AI talent expected to surge by 33.5% according to recent hiring data from the Bureau of Labor Statistics.

For the last two years, people have learned to get better results from large language models (LLMs) by writing clearer prompts: add context, define the role, give examples, specify the format, and iterate. This is still useful. But as AI moves from chatbots to coding agents, research assistants, data science copilots, and autonomous workflows, “good…

In MarTech’s “MarTechBot explains it all” feature, we pose a marketing question to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader internet.

The programme aims to teach professionals to use generative AI tools effectively, safely and responsibly at work.

The difference between an impactful and a worthless AI response often comes down to the prompts you provide.

is built in three engineering layers stacked on a single LLM call. Prompt engineering is the call itself: the system message, the instructions, the schema that fixes the output shape. Context engineering is what fills the model’s window: retrieval, compression, deciding what to keep out. Loop engineering is what happens around the call: when the…

Agentic AI marks a fundamental shift beyond simple prompt‑and‑response chats. These advanced systems, built from intelligent agents, autonomously perceive environments, reason through complex problems, plan strategies, and act to achieve goals with minimal human supervision. No more micromanaging a chatbot; set a high‑level objective and let AI orchestrate its own multi‑step workflows. Traditional chatbots require…

A security researcher has demonstrated how Microsoft Copilot for Word can be tricked into spreading a self‑propagating prompt‑injection “AI worm.” The attack silently alters documents and embeds its own hidden instructions into newly created files, allowing it to spread through normal document-sharing workflows without macros or traditional malware.

variable rename passes Git, greenlights your mocked test suite, and gets approved in code review—right up until it crashes every real production call the moment it executes.