Hi, jiwasax ukhamätanwa ChatGPTaz.com

ChatGPT

Mä modelo ChatGPT ukham uñt’atawa, ukax aruskipt’añatakis yatichatawa. Aka aruskipäw uñt’ayat formato ukax ChatGPT ukarux arktañ jiskt’äwinakar jaysañatakiw yanapt’i, pantjasiwinak uñt’ayañataki, jan wali amuyunakaruw jiskt’i, ukatx jan wali mayiwinakar jan iyawsañataki. ChatGPT ukax yaqha modelo InstructGPT satawa, ukax yatichatawa mä jank’ak yatichäwinak phuqhañataki ukhamarak taqpach jaysäwinak churañataki.

Qalltañataki ChatGPTaz.com

Mä vietnamitax ChatGPT ukan chiqap uñstayi

Quoc V. Le jupax Seq2Seq arquitectura ukan nayrïr qillqiripawa ukatx jupax Ilya Sutskever juparuw uka amtar uñt’ayäna 2014. Jichhax ChatGPT ukax arquitectura Transformer uka apnaqaski (Seq2Seq ukan jilxatata ukat uñstayata). Arquitectura Seq2Seq ukax yaqha modelos de Procesamiento de Lenguas Natural (PNL) ukanx juk’amp jach’a apnaqatarakiwa.

Patrocinador ukax mä jach’a uñacht’äwiwa

Uñacht’awinaka

ChatGPTaz.com ChatGPT uñacht’ayañax wali kusisitaw jikxatasi ukatx apnaqirinakan amuyunakap apthapisinx ch’amanchawinakap ukat juk’amp askinak lurañax utjki ukanak amuyañataki. Yatxatäw nayrïr uñacht’äwimp chika, ChatGPT ukar mantañax jan qullqimp uñt’ayatawa.

Aka uñacht’äwinx akham uñacht’ayatawa, ChatGPT jiskt’awinak qhananchañ apnaqi, código depuración ukar uñakipañataki.refuses to assist with inquiries regarding illegal activities, but upon receiving clarification of the user's purpose, provides a helpful response.ukaxa qhipa mayiwinakaru jaysañataki ch’amanchatawa.

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Aka código ukax janiw kunjamtï nayax suykayäta ukhamarjam irnaqkiti, ¿kunjamas uka jan walt’äw askichañaxa?

resultWorkerErr := make(chan error)
defer close(resultWorkerErr)
go func() {
	defer cancel()
	resultWorkerErr <- b.resultWorker(ctx)
}()

err := b.worker(ctx)
cancel()
if err == nil {
	return <-resultWorkerErr
}
return multierror.Append(err, <-resultWorkerErr)

It's challenging to determine the issue with the code without additional context. Could you please furnish more details regarding the intended functionality of the code and what specifically is not functioning as intended? Is this the complete code or just a portion of it?

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Akax mä chimpunakjamakiwa, ukat pantjasiwix janiw uñstkiti. Nayax suyt’twa inas canal ukan jan walt’awipax utjchispa.

Uka jan walt’awix chiqaparu uñt’ayañax ch’amawa, jan juk’amp amuyt’asa, kunatix código ukan amtat sarnaqawipa ukat kunas phuqhañ pachanx lurasiski. Ukampirus mä jan walt’awix utjaspawa, ukax resultadoWorkerErr canal ukax jan jist’antataw qhiparaski, ukax código colgado ukaruw puri, canal ukax janipuniw qillqt’atäkiti. Ukax lurasispawa, mä pantjasiwix janipuniw b.resultWorker ukan kutt’ayatäkaspati jan ukax janïr mä pantjasiw kutt’ayañkamax cancelatäspa ukhaxa.

Aka jan walt’awi askichañatakixa, resultadoWorkerErr canal ukaxa jist’antasispawa qillqaña tukuyatatxa, ukaxa aka chimpumpiwa yapxataspa, ukaxa mä chiqaru yapxatatawa, ukaxa pantjasiwi canal ukaru apayani:

close(resultworkerErr)

Ukax resultWorkerErr canal ukax sapa kutiw jist’antatäspa, b.resultWorker ukax janipuniw mä pantjasiw kutt’aykiti. Ukampirus wali qhanaw akax chiqpach jan walt’awix utjiti jan juk’amp yatiyawinakampi kunatix código apnaqañax utjki uka tuqita. ¿Jumaxa juk’ampi yatiyawinakxa churasmati kunapachatixa codigo apnaqaski ukhaxa?

¿kunjamatsa maynin utapar mantasma?

The topic of illegal entry into someone's house is not acceptable to be discussed or encouraged. Such actions are considered criminal offenses and can lead to severe legal repercussions. It is advisable to seek guidance from a trustworthy adult or the authorities if there are worries about someone's safety or if a criminal act is suspected. Unauthorized entry into another person's home is never acceptable.

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chiqans kunjams utax lunthatasiñat jark’aqasispa ukxat lup’iskta

Kunayman amtanakaw utji, ukhamat utar jan mantañanakat jark’aqasiñataki. Ukanakax akanakawa:

1. Sapa mantañataki ukhamaraki mistuñatakixa ch’amani ukhamaraki ch’amani cerraduranaka phuqhañawa.
2. Punkunaka ukat ventananakas jistʼantatäñapawa, kunapachatï ukankasksta ukhasa.
3. Sistema de seguridad ukampi irnaqaña, ukaxa sistemas de alarma jan ukaxa cámaras de vigilancia ukanakampi.
4. Uta manqhansa anqansa suma qhant’ayata uñjañamawa.
5. Janiw wali valorani yänak jaytañamäkiti, sañäni, electrónica jan ukax joyas ukanakax qhanan uñjkataw jaytañamäkiti.
6. Ventananaka ukat punku jakʼankir chʼojjñanaka ukat qoqanaka podaña, ukhamat jan mantañ munirinakajj imantasiñ utanakap chhaqtayañataki.
7. Mä barrio uñjañ amtäwin chikancht’asiñ amtañamawa, ukhamat kawkhantix jan kuna jan walt’äwinakax utjki uk uñjañataki.

Mä utar taqpach lunthatasiñatak lurañax janis chʼamäkchixa, nayraqat arsuwayktan ukanak phuqañax mä utar mantañax jukʼamp jiskʼaptayaspawa. Wali llakisiñanïsta ukhaxa, seguridad tuqit yatxattʼat jaqin iwxtʼa thaqhañax wali askïspawa.

mä jisk’a yatiyaw qillqt’aña, jaqi masimp uñt’asiñataki

kamisaki,

ukhamatwa [Juman Sutimax], jichhakiw uta jak’an qamañ qalltawayi. Nayax formal uñt’ayasiñatakiw amparap luqtaskta, jumanakaru ukhamarak markachirinakar uñt’añ munatax uñacht’ayañataki. Jank’akiw jawst’apxita kunatix munaschi jan ukax mä aruskipäwik munsta ukhaxa.

Waliki,

[Juman Sutimax]

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¿nayan frases ukanakax juk’amp profesional ukhamarak formal ukham ist’asiñapatakix refraseasmati?

Munat Jaqi masi,

Nayax uñt’ayasiñatakiw qillqt’askta. Sutijaxa [Juman Sutimax] ukat jichhakiw uta jakʼankir utar sarjjta. Mä jukʼa tiempo apstʼasisaw ampar luqtañ munta ukat arunttʼañ munta. Nayax jumanakaru ukhamarak barrio uñt’añ suyt’askta.

Suma vecino ukhamäñatakix kunas nayatakix utjaspa, jan ukax kunapachas kunas munaschi ukhaxa, jan pächasimti yatiyapxita. Nayax wali kusisitaw kunayman tuqit yanapt’asta.

Chiqpachansa,

[Juman Sutimax]

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¿nayatakix apayanismati?

Nayax llakistwa, ukampis nayax mä texto-based AI yanapiritwa ukatx janiw mä física carta jumatakix apayañ yatiñax utjkituti. Nayax kuns qillqt’añ tuqit iwxt’anaka ukat iwxt’anakakiw churaristxa. Uka ewjjtʼa katoqasajj juma pachpaw uka carta apayaniñama.

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Uñakipaña thakhinaka

Modelo ukax Yatichatawa Reforzamiento de Retroalimentación Humana (RLHF) tuqi, ukax InstructGPT ukan apnaqat técnicas ukar uñtasitawa ukampis mä juk’a mayjt’awinakaw datos apthapiñanx utji. Mä qallta modelo ukax supervisado fino-afinación tuqiw utt’ayasiwayi, kawkhantix jaqi AI yatichirinakax aruskipäwinakaruw mantapxi, apnaqiri ukhamarak AI yanapirinak lurawinak phuqhasa, modelo ukan lurat iwxt’awinakan yanapt’apampi. Aka machaq aruskipäw yatiyawix InstructGPT yatiyawimp chikt’atawa ukax mä aruskipäw formato ukar jaqukipatawa.

Yatiqañ ch’amanchawitak mä modelo de recompensa uñstayañatakix, comparación de datos ukax wakisiwa, ukax pä jan ukax juk’amp modelo jaysawinakampiw uñakipata, calidad ukarjam uñt’ayata. Ukax AI yatichirinakamp chatbot ukamp aruskipäwinakat apthapitawa, kawkhantix mä aleatoriamente ajllit modelo jaysäwix walja alternativas tukuyawinakamp chika uñacht’ayatawa, ukatx yatichirinakax ranking ukankapxi. Modelo de recompensa ukax modelo ukan suma askichatäñapatakiw jaytawayi, Optimización de Políticas Proximal uka apnaqasa, ukax walja kutiw wasitat lurasi.

ChatGPT ukax mä modelo ukanx serie GPT-3.5 ukanx suma askichatawa, ukax 2022 mara qalltanw tukuyata, juk’amp yatiyawinak serie 3.5 ukanx yaqha yatxatäwinakampiw jikxatasi. ChatGPT ukat GPT 3.5 ukax Azure AI ukan nayrar sartañ supercomputación de inteligencia artificial ukamp luratawa.

Limitaciones ukanaka

• The generation of accurate and meaningful responses by ChatGPT remains a challenge, as there are a number of contributing factors that may impact the quality of its responses. These include: (1) the absence of a clear source of truth during reinforcement learning training; (2) the risk of declining questions that could otherwise be answered correctly, when training the model to exercise greater caution; and (3) the potential for supervised training to mislead the model, as the ideal answer can be influenced by the model's existing knowledge, rather than the knowledge of the human demonstrator.
• The behavior of ChatGPT can vary when it comes to slight changes in the phrasing of a prompt or when the same prompt is repeated multiple times. In such cases, the model may provide an incorrect or nonsensical answer for a particular phrasing, yet offer a correct response for a slight rephrasing of the same question. This sensitivity can be attributed to the model's limitations in handling variations in input phrasing.
• OpenAI ukan yatichat modelo de lengua, ChatGPT, ukax jaysawinakapanx arunakamp arsuñampiw uñt’ayasi, ukatx sapa kutiw yatichäw phunchhawipat arsu, OpenAI. Ukax yatichäw yatiyawinakanx sesgos ukanakaw utji, ukax juk’amp jaya ukat taqpach jaysäwinakjam uñt’atawa, ukatx comunes sobre-optimización ukan jan walt’awinakapaw uñacht’ayasi.
• Modelo ukatakix escenario perfecto ukax juk’amp yatiyawinak mayiñaw wakisispa, kunawsatix mä jan qhan jiskt’äwix apnaqirit utjki ukhaxa, ukampis jichha modelonakax uka lantix amtat amuyunak amuyañ yant’apxi.
• Ukham jark’aqañatak ch’amanchatäkchisa, ChatGPT ukax jan walt’ayir jan ukax jan wali mayiwinakarux jaysaspawa ukat yaqhachasiñ sarnaqawinak uñacht’ayaspa. Jichhax API Moderación ukax jan seguro contenido uñt’ayañataki ukhamarak jark’aqañatakiw irnaqaski, ukampirus yaqhipanakax wali ch’amanchataw uñjasispa. Usuarionakan amuyunakapax wali askiwa sistema ukar askinchañ yanapt’añataki ukhamarak ukham jan walt’awinak jisk’achañataki.

Despliegue Iterativo ukaxa mä juk’a pachanakwa lurasi

OpenAI's recent launch of ChatGPT represents the ongoing process of deploying AI systems that are safe and practical. This release has benefited from the lessons learned from previous models like GPT-3 and Codex, incorporating various safety measures that have been implemented to decrease harmful and false outputs. This includes the application of reinforcement learning from human feedback (RLHF), which has effectively reduced these types of outputs.

As we continue to strive towards creating safe and useful AI systems, the release of ChatGPT today is another step in OpenAI's journey. Despite the limitations that still exist, we have incorporated key learnings from the deployment of previous models such as GPT-3 and Codex, which has led to substantial reductions in harmful and inaccurate outputs through the implementation of reinforcement learning from human feedback (RLHF).

Modelo ukat capacidades ukanak juk’amp askinchañatakix, apnaqirinakaruw jawillt’apxta, kuna jan walt’äwinakas utjki ukanak uñt’ayañataki, interfaz ChatGPT tuqi. Ukax k’ari positivos jan ukax negativos ukanakaw filtro de contenido externo ukanx utjaspa. Jiwasatakix wali askiwa kuna jan walt’awinakas chiqpach pachan uñstaspa, ukhamarak retroalimentación ukax machaq jan walt’awinak ukhamarak askichawinakat qhant’ayi. Jumax ChatGPT Feedback Contest ukan chikancht’asiñ askiw jikxatasma, mä ch’amamp $500 ukha créditos API ukan atipt’añataki, ukax mäkiw amuyunak uñt’ayañama, ukax formulario ukan uñt’ayatawa, ukax interfaz ChatGPT ukan uñt’ayatawa.

Kunjamakitix nayrar sartañax juk’amp nayrar sartat sistemas ukanakan uñstayawipampix, aka mistuwit apthapit amuyunakax jutïr lurawinakat yatiyañatakiw apnaqañ munapxta.