Basics GUIDE

Grokking uye Kunonoka Generalization

Grokking chinhu chinokatyamadza apo neural network inotanga kubata nemusoro data rayo rekudzidziswa, inogara padhuze-zero kurongeka kwechokwadi kwenguva yakareba, uye kamwe kamwe inogadzirisa nguva refu mushure mekudzidziswa kwechokwadi kwarova 100%.

2 min verengaLast update

Pfupiso

It overturns the intuition that learning and generalization happen together.

Kudzika Kwakadzika

Zvakawanikwa ne OpenAI vatsvakurudzi muna 2021 pamabasa madiki algorithmic se modular arithmetic, grokking inoratidza yakapinza-pase-pase curve. Pakutanga, modhi yacho inokodzera kudzidziswa kwakaiswa zvakakwana nepo kusimbiswa kwekuita kunoramba kuri pamukana, kutaridzika zvisina tariro. Zvino, mushure mezviuru kana mamirioni ematanho ekuwedzera pasina kufambira mberi kuri pachena, chokwadi chechokwadi chinosvetuka kusvika pedyo-chakakwana. Tsananguro inotungamira ndeyekuti kuora kwehuremu (kudzoreredza) zvishoma nezvishoma kunomanikidza network kuti isiye mhinduro yemusoro uye kuwana compact, yakarongeka iyo inonyatso tora iyo yepasi mutemo, semuenzaniso inomiririra modular yekuwedzera sekutenderera padenderedzwa. Grokking inonyanya kuoneka pamadiki ekugadzira datasets, asi kuinzwisisa kunovhenekera pakadzika mechanics enguva uye nei generalization inobuda.

Technical Insight

Mechanistic zvidzidzo zvinodzosera kumashure-engineered grokked network uye vakawana kuti vanoshandisa algorithms akachena, sekushandisa Fourier-senge denderedzwa embeddings kuita modular arithmetic kuburikidza netrigonometric identities. Shanduko inoenderana nehuremu hwenetiweki huremu uye huchidzikira-pasi pasi penguva dzose: kuyeuka kunoda hukuru, huremu husina kurongeka, nepo generalizing wedunhu iri nyore. Saka Grokking inoenzanisira makwikwi pakati pemhinduro yekukurumidza-kuwana-yemusoro uye inononoka-kune-fomu, inonyatso shanda kuumba imwe.

Strategic Impact

Sarudzo dzakajeka

Inokubatsira kuparadzanisa zvakajeka zvichemo zvehunyanzvi kubva mumutauro wekushambadzira.

Mutengo uye bhajeti

Iwe unogona kubvunza zvirinani kuita mibvunzo usati washandisa mari kana nguva.

Team uye workflow

Zvikwata zvine nzwisiso yakagovaniswa inoita zvirinani chigadzirwa, mutemo, uye sarudzo dzekudzidza.

Ramangwana reGrokking uye Kunonoka Kugadziriswa

Grokking ihwindo mune sainzi ye generalization iyo vaongorori vanotarisira kukwira. Mibvunzo yakavhurika inosanganisira kana kunonoka kuita kwese kunoitika chinyararire mukati memhando huru, maitiro ekuona kana kukurumidza kuchinja, uye zvazvinoreva pakuziva kana modhi yakanyatso dzidza pfungwa maringe nemienzaniso yakadzidzwa nemusoro. Insights inogona kuzivisa zvirinani kugadzwa, zvirongwa zvekudzidzisa, uye maturusi ekududzira, uye inogona kubatsira kufanotaura hunyanzvi hwekubuda mumhando dzemitauro mikuru.

Real-World Implementation

Kudzidza modular arithmetic mabasa ekudzosera kumashure-injiniya iwo chaiwo maseketi anodzidziswa netiweki

Kuratidza kuti kuora kwehuremu kunofambisa sei kuchinja kubva mumusoro kuenda kuhuwandu hwechokwadi

Kuzivisa kududzira tsvakiridzo nekupa yakachena, inonzwisiswa zvizere modhi maitiro ekuongorora

Kuyambira varapi kuti nzvimbo dzekutanga dzekusimbisa hazvireve kuti modhi yatadza kudzidza

Njodzi & Guardrails

Zvikwata zvakasiyana zvinogona kushandisa izwi rimwechete zvakasiyana, saka tsanangura nzvimbo nekukurumidza.

Benchmarks inogona kutaridzika yakasimba nepo chaiyo-yenyika kuita isina kuenzana.

Kuregeredza mhando yedata uye zvirongwa zvekuongorora zvinowanzogadzira mhedzisiro isina kusimba.

Implementation Roadmap

1

Tanga netsanangudzo yemutauro wakajeka yemhedzisiro yaunoda.

2

Sarudza metric imwe yekubudirira uye imwe yekutadza mamiriro usati waedzwa.

3

Mhanya mutyairi mudiki ane data remumiriri, kwete demo rakakwenenzverwa.

4

Gwaro uko Grokking uye Delayed Generalization inobatsira uye uko nzira dzakareruka dziri nani.

Ramba Uchiongorora

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What is Grokking and Delayed Generalization?

Grokking chinhu chinokatyamadza apo neural network inotanga kubata nemusoro data rayo rekudzidziswa, inogara padhuze-zero kurongeka kwechokwadi kwenguva yakareba, uye kamwe kamwe inogadzirisa nguva refu mushure mekudzidziswa kwechokwadi kwarova 100%. Iyo inopidigura iyo intuition yekuti kudzidza uye generalization zvinoitika pamwechete.

Chii chinotsanangura grokking mune neural network kudzidziswa?

Grokking ndiko kusvetuka kamwe kamwe kune yakanaka yekusimbisa kuita kunoitika zvakanaka mushure mekudzidziswa kwechokwadi kwatova pa100%.

Pamhando ipi yemabasa kwakatanga kuonekwa zvakanyanya?

OpenAI vatsvakurudzi vakashuma grokking muna 2021 pamatambudziko madiki ekugadzira algorithmic senge modular kuwedzera.

Ndechipi chinhu chinonyanya kurumbidzwa nekufambisa shanduko kune generalization mu grokking?

Kuora kwehuremu zvishoma nezvishoma kunosundira network kure neyakavhurika nemusoro mhinduro yakananga kune compact, generalizing dunhu.

Vatsvagiri pavakadzosera-injiniya network yakashata pane modular arithmetic, chii chavakawana?

Kududzirwa kwemichina kwakaratidza network yakadzidza trigonometric, denderedzwa inomiririra kuverengera modular arithmetic.

Sei grokking ichitsanangurwa semakwikwi pakati pemhinduro mbiri?

Manetiweki anokurumidza kuwana mhinduro yemusoro asi, pasi penguva dzose, anozopedzisira asangana kune yakareruka generalizing wedunhu.