Tag: AI performance
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Beyond Simple RAG: How Context Engineering and GraphRAG Fix AI Performance
As Martin Keen from IBM explains, context is the single biggest bottleneck in getting AI to do what you want. While simple semantic search architectures helped us get started, building truly reliable, enterprise-grade AI systems requires shifting toward Context Engineering, Retrieval-Augmented Generation (RAG), and advanced GraphRAG models.
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AI Model Tier List: Insights and Feelings from a Chat App Builder
Theo’s video provides valuable insights into the current state of AI models, based on real-world experience. His tier list and candid observations offer a practical guide for navigating the complex and rapidly evolving AI landscape. From cost-effectiveness and performance to transparency and specific use cases, his analysis highlights the key factors to consider when selecting…