Answered from AI Interview #2 - Context in LLMs with @aloo_explains · Gaurav Sen · 2026-07-26
Tanishq gives two options in Gaurav Sen's AI interview series. One is to summarise and store the results in a separate memory layer, for example five summaries when planning trips for five people, rather than holding everything in the model's context window. The other is a multi-agent pattern where planning and summarisation agents each hold only part of the context. Both aim to stop the model getting confused and hallucinating.
Source: our own transcription of the episode. The full conversation is on Gaurav Sen (2026-07-26). Read the whole episode summary →