InoteveraGaidhi rinotevera
Medical Large Language Models
Mutauro AI
Mutauro AI GUIDE
Emergent Mano eMienzaniso Yakakura yeMutauro
Hunyanzvi hwekusimudzira unyanzvi hunooneka kamwe kamwe mumamodheru emitauro mikuru kana vapfuura chimwe chikero, kunyangwe mamodheru madiki asina kuratidza chiratidzo chazvo.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Ivo vane basa nekuti vanoita kuti kugona kuome kufanotaura kubva kudiki-diki kuyedza.
Kudzika Kwakadzika
Yakasimudzirwa mubepa ra2022 naWei uye vaanoshanda navo, kubuda kunoreva mabasa apo kuita kunogara pedyo nemukana wemamodhi madiki uye wobva wasvetuka zvine simba kana modhi yayambuka chiyero chehukuru mumaparamita, data, kana komputa. Mienzaniso yakashumwa yaisanganisira akawanda-nhanho arithmetic, mamwe mabhenji ekufunga, uye inotevera mirairo yenovel. Chikamu chaishamisa chaive chekusaenderera mberi: hunyanzvi hwaive husiri nani zvishoma nezvishoma, hwaiita kunge husipo uye hwavepo. Kuteedzerwa kwa2023 naSchaeffer uye vaaishanda navo vakapokana kuti kumwe kusimuka chimwe chikamu chekuyeresa, nekuti hutsinye hwese-kana-hapana metrics senge-chaiwo-mechi yakawedzera kusvetuka-svetuka kunotaridzika kutsvedzerera pasi pezvibodzwa zvakapfava. Nhaurirano iyi yakagadzirisa zvakare kuti vaongorori vanoshuma sei mibairo yekuyera uye kutora evaluation metrics.
Kuitwa muNyika yeChokwadi
Mamodheru mahombe anogadzirisa matambudziko emazwi mazhinji-nhanho ayo mavhezheni madiki anopindurwa pamwero wemukana.
Modhi yakangoerekana yatevera yakaoma, isina kumbobvira yaonekwa mirairo mushure mekuyambuka chikumbaridzo.
Chain-ye-pfungwa inosimudzira kufunga kana mamodheru asvika saizi yakakwana.
Vatsvagiri vanorongazve 'kamwe kamwe' bhenjimark yekusvetuka ine chikamu-kiredhiti zvibodzwa uye nekutsvaga yakatsetseka curve.
Ramangwana reKugona Kwekukurumidza kweMienzaniso Yakakura yemitauro
Vatsvaguri parizvino vanobatanidza zvidzidzo zvekuyera nemametric akawanda kuti vaparadzanise shanduko yechikamu kubva kune zvigadzirwa, uye vanoongorora kuti ndeapi masimba anosvika chete pachiyero. Kufembera kuri nani kunokosha pakuchengeteka, sezvo mano asingafanoonekwi achigona kusanganisira ane ngozi. Tarisira basa rakawanda pamitemo yezvikero inofanofembera zvinogoneka pachine nguva, pamwe nekuchenjerera magadzirirwo ezviyereso zvekuti zvinonzi 'kubuda' kunoratidza maitiro emhando kwete kuyera.
Kuzvishandisa
Nei zvichikosha
- Kumhanya uye chiyero. Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
- Svika uye svika. Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
- Sarudzo dzakajeka. Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.
Chenjera
- Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
- Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
- Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.
Matanho anotevera
- Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
- Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
- Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
- Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Emergent Abilities of Large Language Models quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chiri Emergent Mano eMakuru Mutauro Models?
Hunyanzvi hwekusimudzira unyanzvi hunooneka kamwe kamwe mumamodheru emitauro mikuru kana vapfuura chimwe chikero, kunyangwe mamodheru madiki asina kuratidza chiratidzo chazvo. Ivo vane basa nekuti vanoita kuti kugona kuome kufanotaura kubva kudiki-diki kuyedza.
What did early emergence reports describe?
The cited work described apparently sharp capability changes for some tasks.
What alternative did Schaeffer and colleagues argue?
The follow-up argues nonlinear or discontinuous metrics can create apparent abrupt jumps.
Why can exact-match scoring make a gradual skill look abrupt?
The study explains that all-or-nothing metrics can exaggerate a discontinuity.
What might happen if partial-credit or continuous metrics are used?
The paper reports metric changes can reveal smoother performance trends.
What is needed before concluding a new ability appeared at a scale threshold?
The research debate emphasizes metric choice and better statistics.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi