In this chapter, we focus on single-agent/model design. Section 3.1 begins with a discussion comparing end-to-end learning and feature engineering in the modern era. This section primarily explores the value of manual annotation and how to incorporate human insights into models to enhance the performance of downstream tasks. Beyond learning from humans and experts, the ability to learn from historical events and documents is also crucial for agents.

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Single-Agent/Model Design

  • Chung-Chi Chen,
  • Hiroya Takamura

摘要

In this chapter, we focus on single-agent/model design. Section 3.1 begins with a discussion comparing end-to-end learning and feature engineering in the modern era. This section primarily explores the value of manual annotation and how to incorporate human insights into models to enhance the performance of downstream tasks. Beyond learning from humans and experts, the ability to learn from historical events and documents is also crucial for agents.