Prompt engineering has evolved into a critical skill for getting accurate, reliable, and context-aware results from AI models like ChatGPT, Claude, and Gemini. Structured techniques, frameworks, and ...

A new cross-platform prompt engineering playbook is emerging, blending role prompting, structured decomposition, and automation to improve AI output quality and consistency. The approach integrates ...

Why did OpenAI have to write "never mention goblins" into its production code on ChatGPT? The company has published a ...

Got a complex task for AI? You’ll get better results by breaking it down first. This prompt will get you started.

In this episode of The WPI Podcast, we explore why video, images, and other content generated by artificial intelligence ...

Modern AI research requires mastering dozens of specialized tools and frameworks. AI Researchers spend more time debugging infrastructure than testing hypotheses — slowing the pace of scientific ...

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...

Discover how OpenAI's GPT Images 2.0 delivers unmatched realism and style versatility for professional AI image and video ...

Working Context: This is basically what is in the context window at the current moment; you should constantly make summaries ...

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...

In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

Abstract: The advent of large language models (LLMs) may have been a sudden increase in the use, which undoubtedly may intensify the hurry in promoting the precocious and accidental engineering of ...