Tag: long-context AI

Long-Context Generative AI: Rotary Embeddings, ALiBi, and Memory Mechanisms

Explore the core tech behind long-context AI in 2026: Rotary Embeddings (RoPE), ALiBi, and memory mechanisms. Compare performance, trade-offs, and real-world benchmarks for building scalable generative AI applications.

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Long-Context Risks in Generative AI: Distortion, Drift, and Lost Salience

Long-context AI models can process massive amounts of text, but they struggle with distortion, drift, and lost salience-especially in the middle of documents. Learn how these risks undermine reliability and what’s being done to fix them.

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