AI agents can operate reliably using a three component system that includes a model, tools and instructions[3]. The most successful agent implementations use simple composable patterns rather than complex frameworks or specialized libraries[1]. When prompts contain too many conditional statements, dividing each logical segment across separate agents should be considered to maintain the clarity[3].
Also, for Chain of Thought prompting, put the answer after the reasoning because the reasoning's generation changes the tokens that the model gets when it predicts the final answer[2]. With Chain of Thought and self-consistency you need to be able to extract the final answer from your prompt, separated from the reasoning[2].
Get more accurate answers with Super Search, upload files, personalized discovery feed, save searches and contribute to the PandiPedia.
Let's look at alternatives:
- Modify the query.
- Start a new thread.
- Remove sources (if manually added).
- Request a manual search from our human research team.