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Primer

For agents: Primer: tutorial docs on writing compositional language model programs (factored cognition), with recipes and the Interaction Composition Explorer tool.

factored cognitionlanguage model programscompositional promptinginteraction composition explorerquestion answering

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# Primer

## Primer

- [Factored Cognition Primer](https://primer.ought.org/readme.md): How to write compositional language model programs
- [Factored Cognition](https://primer.ought.org/intro/factored-cognition.md): Decomposition of reasoning tasks
- [Before We Start](https://primer.ought.org/intro/before-we-start.md): How to install and run the Interaction Composition Explorer
- [Hello World](https://primer.ought.org/chapters/hello-world.md): The simplest recipe
- [Question Answering](https://primer.ought.org/chapters/question-answering.md): The first recipe that calls a language model
- [Q\&A without context](https://primer.ought.org/chapters/question-answering/q-and-a-without-context.md): Answering questions without extra information
- [Q\&A about short texts](https://primer.ought.org/chapters/question-answering/q-and-a-about-short-texts.md): Answering questions about a few paragraphs
- [Debate](https://primer.ought.org/chapters/debate.md): A recipe that composes calls to multiple agents
- [Representing debates](https://primer.ought.org/chapters/debate/representing-debates.md): Debates have turns, turns have authors and messages
- [From debates to prompts](https://primer.ought.org/chapters/debate/from-debates-to-prompts.md): Rendering a debate to a string
- [The debate recipe](https://primer.ought.org/chapters/debate/the-debate-recipe.md): Going back and forth between agents
- [Long Texts](https://primer.ought.org/chapters/long-texts.md): Answering questions about research papers
- [Loading paper text](https://primer.ought.org/chapters/long-texts/loading-paper-text.md): Loading papers as structured data
- [Finding relevant paragraphs](https://primer.ought.org/chapters/long-texts/finding-relevant-paragraphs.md): Paragraph-wise classification with parallelism
- [Answering given paragraphs](https://primer.ought.org/chapters/long-texts/answering-given-paragraphs.md): Answering the question given the top paragraphs—with subrecipes!
- [Amplification](https://primer.ought.org/chapters/amplification.md): Recursive question-answering
- [Asking subquestions](https://primer.ought.org/chapters/amplification/asking-subquestions.md): From question to more questions
- [Answering subquestions](https://primer.ought.org/chapters/amplification/answering-subquestions.md): Mapping our answerer over subquestions
- [One-step amplification](https://primer.ought.org/chapters/amplification/one-step-amplification.md): Answering given subquestion answers
- [Recursive amplification](https://primer.ought.org/chapters/amplification/recursive-amplification.md): Subquestions can have subquestions
- [Verifiers](https://primer.ought.org/chapters/verifiers.md): Sometimes evaluation is easier than generation
- [Checking answers](https://primer.ought.org/chapters/verifiers/checking-answers.md): Does this sound plausible?
- [Checking reasoning steps](https://primer.ought.org/chapters/verifiers/checking-reasoning-steps.md): Where did we go wrong?
- [Tool Use](https://primer.ought.o
…

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