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Reflexion is a research framework in which language agents use task feedback to write textual reflections for later attempts.
Teerera kugwaro iriAI-yakarondedzerwa · ~1 min
It changes context, not model weights.
The Reflexion paper describes an Actor that attempts a task, an Evaluator that scores the result, and a Self-Reflection model that turns feedback into language stored in episodic memory. The next attempt can use that reflection as context; the framework does not update model weights. The paper reports improvements on selected tasks, including a HumanEval result for its particular setup. Benchmark results should not be generalized to every agent or deployment. In the Reflexion paper’s reported coding experiment, the framework achieved 91% pass@1 on HumanEval, compared with 80% for the GPT-4 baseline described in that paper. These are results for the paper’s particular setup and benchmark, not a general performance guarantee.
An agent receives unit-test feedback, writes a reflection, and retries a coding task.
A researcher compares Reflexion’s benchmark setup with its stated baseline.
An evaluator supplies task-specific feedback that the agent can inspect.
A developer stops iteration when a defined success condition is met.
Self-correction methods remain dependent on evaluation quality, task design, and iteration cost. Avoid claims of general improvement without testing; reflections can be mistaken or lead to loops.
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Reflexion is a research framework in which language agents use task feedback to write textual reflections for later attempts. It changes context, not model weights.
Reflexion dzimwe nguva inodaidzwa kunzi 'kudzidza kwemazwi ekusimbisa' nekuti zvidzidzo zvinochengetwa sezvinyorwa zvemutauro wechisikigo mundangariro, zvisina kukodherwa mumiganho yemuenzaniso.
Muongorori (muyedzo weyuniti, cheki-cheki chaiyo, kana mutongi weLLM) anoburitsa chiratidzo chekuti nhanho yeKuzvifungira inoshanduka kuita chidzidzo chezvinyorwa.
Kana muongorori asina kuvimbika, mumiririri anogona kunyora fungidziro ine chivimbo yakavakirwa pamhinduro dzakaipa, achitungamira kuedza kweramangwana munzira isiriyo.
The paper reports 91% pass@1 on HumanEval for its Reflexion coding setup; the result is specific to that evaluation.
Pasina mutemo wakanaka wekumisa, mumiririri anogona kuramba achidzokorora mhinduro dzechokwadi, achirasa komputa uye dzimwe nguva achidzikisira goho rakanaka.
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