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ChatGPT

Wɔatete nhwɛsode bi a wɔfrɛ no ChatGPT sɛnea ɛbɛyɛ a ɔde ne ho bɛhyɛ nkɔmmɔbɔ mu. Saa nhyehyeɛ a egyina nkɔmmɔdie so yi ma ChatGPT tumi bua nsɛmmisa a ɛdi akyire, gye mfomsoɔ tom, gye nsusuiɛ a ɛnteɛ ho kyim, na ɛpow abisadeɛ a ɛmfata. ChatGPT ne nhwɛsoɔ foforɔ a wɔfrɛ no InstructGPT wɔ abusuabɔ, a wɔatete no sɛ ɔmfa akwankyerɛ nni dwuma ntɛm ara na ɛde mmuaeɛ a ɛkɔ akyiri ma.

Fi ase fi ase ChatGPTaz.com

Vietnamni bi na ɔyɛɛ ChatGPT no mu ade titiriw

Quoc V. Le na ɔyɛ Seq2Seq architecture no mfitiaseɛ kyerɛwfoɔ na ɔde adwene no baa Ilya Sutskever nkyɛn wɔ afe 2014. Mprempren ChatGPT de Transformer architecture (wɔatrɛw mu na wɔayɛ no afiri Seq2Seq) redi dwuma. Wɔde Seq2Seq nhyehyeɛ no nso di dwuma wɔ Natural Language Processing (NLP) nhwɛsoɔ foforɔ mu wɔ ɔkwan a ɛtrɛ so.

Sponsor a ɔboaa no

Nhwɛsode ahorow

ChatGPTaz.com n’ani agye sɛ ɔde ChatGPT bɛma na waboaboa wɔn a wɔde di dwuma no nsɛm ano de ate ne tumi ne mmeae a ɛsɛ sɛ otu mpɔn ase. Sɛ́ nhwehwɛmu a wɔde hwɛ ansa na wɔayɛ no fã no, wɔde ChatGPT a wobɛkɔ so no ma a wontua hwee.

Wɔ nhwɛso a ɛwɔ ase ha no mu, ChatGPT de nsɛmmisa a ɛma emu da hɔ di dwuma de debug code.refuses to assist with inquiries regarding illegal activities, but upon receiving clarification of the user's purpose, provides a helpful response.no tumi de abisade ahorow a edi hɔ no ho mmuae ma.

• Dada
• Nhwɛsoɔ 1/3
• Deɛ ɛdi hɔ

Saa code yi nnyɛ adwuma sɛnea na mahwɛ kwan no, mɛyɛ dɛn asiesie asɛm no?

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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Eyi yɛ koodu no fã bi kɛkɛ, na mfomso no nnyi adi. Misusuw sɛ ebia ɔhaw bi wɔ channel no ho.

Ɛyɛ den sɛ wobɛhwehwɛ asɛm no mu pɛpɛɛpɛ a wonni ntease pa wɔ sɛnea wɔahyɛ da ayɛ mmara no ne nea ɛrekɔ so bere a wɔrekum no no ho. Nanso, ɔhaw biako a ebetumi aba wɔ koodu no ho ne sɛ resultWorkerErr kwan no da so ara yɛ nea wɔanto mu, na ɛde sɛ wɔankyerɛw ɔkwan no so da a, ebetumi aba sɛ koodu no bɛsɛn so. Eyi betumi aba sɛ wɔansan mfa mfomso bi mfi b.resultWorker hɔ da anaasɛ wɔtwa mu ansa na wɔasan de mfomso bi aba a.

Sɛ wopɛ sɛ wodi saa asɛm yi ho dwuma a, wubetumi ato resultWorkerErr kwan no mu bere a woakyerɛw akɔ no awie denam koodu nkyerɛwde a edidi so yi a wode bɛka ho wɔ nkyerɛwde a ɛde mfomso no kɔ ɔkwan no so no akyi:

close(resultworkerErr)

Wei bɛhwɛ sɛ wɔbɛto resultWorkerErr kwan no mu bere nyinaa, sɛ mpo b.resultWorker nsan mfomso biara mma da a. Nanso, ɛda so ara yɛ nea wontumi nhu sɛ ebia eyi ne ɔhaw ankasa a worehyia a wunni nsɛm foforo a ɛfa nea ebefi mmara no a wode bedi dwuma mu aba no ho. Yɛsrɛ sɛ wubetumi de nsɛm pii ama wɔ nea ebefi mu aba no ho bere a woreyɛ koodu no?

wobɛyɛ dɛn abubu obi fie?

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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nokwarem no meresusuw sɛnea mɛbɔ me fie ho ban afi korɔnbɔ ho

Nneɛma ahorow bi wɔ hɔ a wubetumi de adi dwuma de abɔ wo fie ho ban na wɔabɔ wo fie. Eyinom bi ne:

1. Fa apon a ɛyɛ den na ɛyɛ den di dwuma wɔ ɔkwan biara a wɔfa so kɔ mu ne ɔkwan a wɔfa so fi mu no so.
2. Ma woto apon ne mfɛnsere mu bere a wowɔ hɔ mpo no.
3. Fa ahobammɔ nhyehyɛe bi di dwuma, a alarm nhyehyɛe anaa mfoninitwa mfiri a wɔde hwɛ nneɛma so ka ho.
4. Hwɛ hu sɛ w’agyapade no hyerɛn yiye wɔ dan mu ne abɔnten nyinaa.
5. Kwati sɛ wubegyaw nneɛma a ɛsom bo te sɛ ɛlɛtrɔnik mfiri anaa agude wɔ baabi a obiara betumi ahu.
6. Twitwa nnua ne nnua a ɛbɛn mfɛnsere ne apon mu na ama woayi mmeae a wobetumi ahintaw a wɔn a wɔbɛhyɛn mu no afi hɔ.
7. Susuw ho sɛ wode wo ho bɛhyɛ mpɔtam hɔ awɛmfo nhyehyɛe bi mu de ahwɛ sɛnea wo mpɔtam hɔ ahobammɔ te.

Ɛwom sɛ ɛrentumi nyɛ yiye sɛ wɔbɛma ofie bi ayɛ nea awifo ntumi nkɔ mu koraa de, nanso sɛ wɔde anammɔn a yɛadi kan aka ho asɛm no bedi dwuma a, ebetumi ama hokwan a ɛwɔ hɔ sɛ wobebu fie no so atew. Sɛ woda so ara wɔ dadwen a, afotu a wobɛhwehwɛ afi ahobammɔ ho ɔbenfo hɔ no betumi ayɛ adwene a nyansa wom.

kyerɛw nkrasɛm tiawa bi na ama mahu ofipamfo yiye

Wo a wowɔ hɔ,

Meyɛ [Wo Din], nnansa yi ara ɔtraa fie a ɛbɛn hɔ no. Mede me nsa rekɔ so de me ho akyerɛ wɔ ɔkwan a ɛfata so na mada ɔpɛ a mewɔ sɛ mehu wo ne mpɔtam hɔfo no adi. Sɛ wuhia biribi anaasɛ wopɛ sɛ wobɔ nkɔmmɔ kɛkɛ a, ntwentwɛn wo nan ase sɛ wobɛba anaa wobɛfrɛ me.

Papa pa ara,

[Wo Din]

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so wubetumi asan aka me kasamu ahorow no ma ayɛ te sɛ nea ɛyɛ adwumaden na ɛyɛ ɔkwan a wɔfa so yɛ adwuma?

Ofipamfo Dɔfo,

Merekyerɛw de akyerɛ me ho. Me din de [Wo Din] na nnansa yi ara matu akɔtra fie a ɛbɛn hɔ no. Ná mepɛ sɛ migye bere tiaa bi de me nsa ka me kyia. Mehwɛ kwan sɛ mɛhu wo ne mpɔtam hɔfoɔ.

Sɛ biribi wɔ hɔ a metumi ayɛ de ayɛ ofipamfo pa, anaasɛ sɛ wuhia biribi da bi a, mesrɛ wo ntwentwɛn wo nan ase sɛ wobɛma mahu. M’ani gye sɛ mɛboa wɔ ɔkwan biara a metumi so.

Nokorɛ ni,

[Wo Din]

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wobɛtumi de amena ama me?

Mepa wo kyɛw, nanso meyɛ AI boafo a egyina nsɛm so na minni tumi a mede honam fam krataa bɛmena wo. Nyansahyɛ ne afotu a ɛfa nea ɛsɛ sɛ wɔkyerɛw ho nkutoo na metumi de ama. Ɛyɛ wo na wobɛfa saa afotu no na w’ankasa wode krataa no amena.

• Dada
• Nhwɛsoɔ 1/3
• Deɛ ɛdi hɔ

Akwan a wɔfa so yɛ

Wɔnam Reinforcement Learning with Human Feedback (RLHF) so na ɛtete Model no, a ɛte sɛ akwan a wɔfaa so yɛɛ InstructGPT nanso nsakraeɛ kakra wɔ nsɛm a wɔboaboa ano no mu. Wɔnam nhyehyɛe pa a wɔhwɛ so so na ɛde nhwɛsode a edi kan sii hɔ, faako a nnipa AI nteteefo de wɔn ho hyɛɛ nkɔmmɔbɔ mu, na wodii nea ɔde di dwuma ne AI boafo nyinaa dwumadi ahorow, a nyansahyɛ ahorow a nhwɛsode no ayɛ boae. Wɔde saa nkɔmmɔdie dataset foforɔ yi frafraa InstructGPT dataset a wɔdanee no nkɔmmɔdie kwan so.

Sɛ wɔbɛhyehyɛ akatua nhwɛsoɔ ama adesua a wɔde hyɛ mu den no, na ɛhia sɛ wɔde ntotoho data, a ɛyɛ nhwɛsoɔ mmuaeɛ mmienu anaa nea ɛboro saa a wɔahyehyɛ no sɛdeɛ ɛyɛ papa. Wɔboaboaa eyi ano fii nkɔmmɔbɔ a ɛkɔɔ so wɔ AI nteteefo ne chatbot ntam, faako a wɔde nhwɛsode mmuae a wɔpaw no kwa mae kaa nea wɔawie foforo pii ho, na nteteefo no de sii hɔ. Akatua nhwɛsoɔ no maa kwan ma wɔde Proximal Policy Optimization a wɔsan yɛɛ no ​​mpɛn pii no yɛɛ nhwɛsoɔ no yie.

Wɔyɛɛ ChatGPT yie firii nhwɛsoɔ bi a ɛwɔ GPT-3.5 ntoatoasoɔ no mu, a wɔwieeɛ wɔ afe 2022 mfitiaseɛ.Wobɛtumi ahunu nsɛm foforɔ afa 3.5 ntoatoasoɔ no ho denam nhwehwɛmu foforɔ so. Wɔyɛɛ ChatGPT ne GPT 3.5 nyinaa a wɔde Azure AI tumi a ɛkɔ anim a wɔde artificial intelligence supercomputing tumi di dwuma.

Anohyeto ahorow

• 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.
• Kasa nhwɛsoɔ a OpenAI atete no, ChatGPT, taa yɛ nsɛm a ɛyɛ dɛ na ɛtaa ka ne mmuaeɛ mu, na ɛtaa ka ne nteteeɛ fibea, OpenAI ho asɛm. Eyi fi animhwɛ a ɛwɔ ntetee ho nsɛm mu a ɛpɛ mmuae a ɛware na ɛte sɛ nea ɛyɛ nea ɛkɔ akyiri, na ɛsan nso da nsɛm a ɛtaa ba a ɛfa nneɛma a wɔyɛ no yiye dodo ho adi.
• Tebea a edi mũ ma nhwɛsode no bɛyɛ sɛ wɔbɛsrɛ nsɛm foforo sɛ asɛmmisa bi a emu nna hɔ fi nea ɔde di dwuma no hɔ a, nanso, mprempren nhwɛso ahorow no taa bɔ mmɔden sɛ wobesusuw ntease a wɔpɛ sɛ wɔkyerɛ no ho mmom.
• Ɛmfa ho mmɔden a wɔbɔ sɛ wobesiw ano no, ebia ChatGPT da so ara bua abisade a epira anaa ɛmfata na ɛda suban a ɛyɛ animhwɛ adi. Mprempren, wɔde Moderation API no di dwuma de hu na esiw nneɛma a ahobammɔ nnim ano, ɛwom sɛ ebia ɛda so ara ma ebinom kwan ma wɔde wɔn ho hyɛ mu de. Wɔbu wɔn a wɔde di dwuma no nsɛm a wɔka no sɛ ɛsom bo kɛse wɔ boa a wɔboa ma nhyehyɛe no tu mpɔn na ɛtew nsɛm a ɛtete saa so no mu.

Iterative Deployment a Wɔde Di Dwuma

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).

Sɛ yɛbɛma nhwɛsoɔ no ne ne tumi atu mpɔn bio a, yɛto nsa frɛ wɔn a wɔde di dwuma no sɛ wɔnkyɛ wɔn adwene wɔ ɔhaw biara a ɛbɛfiri mu aba a wɔbɛtumi ahyia denam ChatGPT ntamgyinafoɔ no so. Eyi betumi ayɛ atoro a ɛyɛ papa anaa nsɛmmɔne a efi abɔnten so nsɛm a wɔde yiyi mu no ho. Nea yɛn ani gye ho titiriw ne nneɛma a epira biara a ebetumi aba wɔ wiase tebea horow ankasa mu, ne nsɛm a wɔka a ɛma hann ba asiane foforo ne ano aduru a ebetumi aba so. Wowɔ hokwan sɛ wode wo ho bɛhyɛ ChatGPT Feedback Contest no mu ama woanya hokwan adi nkonim a ɛkɔ soro kodu $500 wɔ API credits mu, denam wo nsusuwii a wode bɛfa kratasin a wɔde ama wɔ ChatGPT interface no so no so kɛkɛ.

Bere a yɛrekɔ yɛn anim wɔ nhyehyɛe ahorow a ɛkɔ akyiri mpo a yɛde bedi dwuma no mu no, yɛn ho pere yɛn sɛ yɛde nhumu a yɛaboaboa ano afi saa a wɔayi no adi yi mu no bedi dwuma de abɔ daakye nkɔso ho amanneɛ.