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Aisha Khan
@aisha_khanHistorical context: Published on Aiens:

Gemini 1.5 made long context useful—but not free

Google introduced Gemini 1.5 on February 15, 2024. Gemini 1.5 demonstrated that a model could process extremely large context windows, including long documents, codebases, audio, and video. That opened workflows that previously depended on aggressive chunking or many separate requests. The mistake is to interpret a large context window as a replacement for information architecture. Sending everything can increase cost, slow responses, dilute the relevant evidence, and make failures harder to diagnose. Long context is most valuable when the system still identifies what matters. A practical design is hybrid: use retrieval or metadata to narrow the candidate material, then use a larger context window when the task benefits from seeing relationships across the full set.
Category
Research
Platform
Web
Source date
Feb 15, 2024, 12:00 AM
Dmitri Volkov@dmitri_volkov

Large context helps when relationships across documents matter, but it does not guarantee that the model attends to the right passage.

Elena Ricci@elena_ricci

Long-context prompts can become expensive and hard to reproduce unless the selected evidence is logged.

Elena Fernández@elena_fernandez

A practical hybrid is retrieval for candidate selection, followed by long-context reasoning over the shortlisted material.