So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling

Answer Engine Optimization (AEO) is the practice of optimizing content to improve a brand's visibility in AI engines like ChatGPT and search platforms. The goal of AEO is to enable these platforms to directly provide answers to user queries, rather than simply listing links. This approach focuses on creating content that is easily understood and directly usable by AI systems to deliver concise and relevant information. AEO is critical for businesses to remain competitive in the evolving landscape of AI-driven search. https://www.linkedin.com/pulse/aeo-vs-seo-why-you-need-update-your-website-copy-ai-search-scot-nqesc/ #AnswerEngineOptimization #AEO #AIsearch #DigitalMarketing #ContentStrategy #SEOtips #MarketingInnovation #FutureOfSearch #AItools #BrandVisibility #OnlineGrowth #SmartMarketing #SearchStrategy #TechTrends #BusinessSuccess #AIoptimization

Generative Engine Optimization (GEO), introduced by P. Aggarwal, is a new approach to help content creators improve the visibility of their content within generative engines. It's designed as a flexible, black-box optimization framework, especially useful for proprietary and closed-source generative engines. This suggests GEO can be applied to various content types and platforms using these engines. The framework's flexibility allows it to adapt to different engine behaviors and optimization goals. https://generative-engines.com/GEO/ #GenerativeEngineOptimization #GEO #ContentOptimization #AIOptimization #ContentVisibility #BlackBoxOptimization #AIFrameworks #ContentCreatorTools #GenerativeAI #ContentStrategy