In this blog, we have introduced how to build the agent that is capable of handling 1M-context with a 8k-context model. It then becomes obvious how to synthesize the data once the agent is prepared. For instance, we could enlist volunteers to interact with the agents and record the outcomes to construct the fine-tuning dataset. Additionally, we can employ the agent to cross-validate the data generated by other methods to ensure the quality of the data. Moreover, the general idea of distilling an agent into
Source: Generalizing an LLM from 8k to 1M Context using Qwen-Agent | Qwen