An AI research team is testing a new large language model's long-context capabilities. They create a test where a unique, non-obvious fact ('The most common color for a fire hydrant in Iceland is bright yellow') is inserted into different locations within a very long, unrelated document. The model is then prompted to retrieve this specific fact. The team observes that the model successfully retrieves the fact when it's placed near the beginning or the end of the document, but consistently fails

Critique of a Synthetic Retrieval Task

Designing a Long-Context Retrieval Experiment

You are evaluating two candidate long-context LLMs...

You lead evaluation for an internal eDiscovery ass...

Your team is writing an internal evaluation checkl...

Your team is selecting an LLM for an internal "pol...

Selecting a Long-Context LLM for a Cost-Constrained Enterprise Document Assistant

Choosing Long-Context Evaluation Evidence for a High-Volume Contract Review Feature

Designing an Evaluation Plan for a Long-Context Compliance Copilot Under Latency and Cost Constraints

Reconciling Long-Context Retrieval Quality with Inference Efficiency for a Meeting-Transcript Copilot

Evaluating a Long-Context LLM for Audit-Ready Evidence Retrieval Under Throughput Constraints

Diagnosing Conflicting Long-Context Evaluation Signals for an Internal Knowledge Assistant