Question

A product analyst pastes a very long transcript into a gen AI assistant and asks for a summary. The tool responds but appears to have ignored the earliest parts of the transcript, summarizing only the later sections. What is the most likely cause?

Accepted Answer

The input exceeded the model's context window, so the earliest content was pushed out and not processed.

Answer

The model hallucinated because the transcript contained factual errors.

Answer

The embeddings for the early text were corrupted during upload.

Answer

The model applied bias mitigation that removed the opening sections.