Context Rot
Context Rot on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on context rot in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around context rot, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Presentation: Beyond Prompting: Context Engineering for Production-Grade AI
Ready to move beyond basic prompt engineering? Ricardo Ferreira’s presentation, “Beyond Prompting: Context Engineering for Production-Grade AI,” delivers practical architectural strategies for building robust AI applications. Ferreira explores critical techniques like leveraging Redis for memory management, optimizing token usage with summarization, and combating context rot through reranking and semantic caching—all while maintaining strict latency constraints and controlling API costs. For those navigating the complexities of LLM model naming, our guide, "A Complete Guide to Decoding LLM Model Names," offers valuable clarity.
Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI
Navigating the complexities of modern data architecture—often a tangled "data management hairball"—is essential for realizing the full potential of generative AI. Join Jörg Schad as he explores autonomous data products, acting as self-contained units encompassing pipelines, schemas, and metadata, to build scalable and safe AI architectures. Discover how protocols like MCP enable progressive tool discovery, mitigate context rot, and enforce governance. For further exploration of AI’s impact on productivity, see our recent article, "What if AI isn't the problem anymore?".