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ChatGPT

Model sing dikenal minangka ChatGPT wis dilatih kanggo ngobrol. Format adhedhasar dialog iki ngidini ChatGPT nanggapi pitakonan tindak lanjut, ngakoni kesalahan, pitakonan asumsi sing salah, lan nolak panjaluk sing ora cocog. ChatGPT ana hubungane karo model liyane sing diarani InstructGPT, sing dilatih kanggo nglakokake instruksi kanthi cepet lan menehi jawaban lengkap.

Mulai karo ChatGPTaz.com

A Vietnam invent inti saka ChatGPT

Quoc V. Le minangka penulis asli arsitektur Seq2Seq lan dheweke ngenalake ide kasebut menyang Ilya Sutskever ing 2014. Saiki ChatGPT nggunakake arsitektur Transformer (ditambahi lan dikembangake saka Seq2Seq). Arsitektur Seq2Seq uga digunakake ing model Natural Language Processing (NLP) liyane kanthi luwih wiyar.

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Sampel

ChatGPTaz.com seneng banget kanggo nampilake ChatGPT lan ngumpulake umpan balik pangguna kanggo ngerti kabisan lan wilayah kanggo dandan. Minangka bagéan saka pratinjau riset, akses menyang ChatGPT ditawakake tanpa biaya.

Ing conto ing ngisor iki, ChatGPT nggunakake pitakonan klarifikasi kanggo debug kode.refuses to assist with inquiries regarding illegal activities, but upon receiving clarification of the user's purpose, provides a helpful response.bisa menehi jawaban kanggo panjalukan sakteruse.

• Sadurunge
• Sampel 1/3
• Sabanjure

Kode iki ora bisa digunakake kaya sing dakkarepake, kepiye carane bisa ngatasi masalah kasebut?

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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Iki mung bagean saka kode, lan kesalahan ora katon. Aku curiga ana masalah karo saluran.

Iku tantangan kanggo diagnosa kanthi akurat masalah tanpa pangerten luwih saka prilaku dimaksudaké saka kode lan apa kedados sak eksekusi. Nanging, siji masalah potensial karo kode iku saluran resultWorkerErr tetep unclosed, anjog kanggo kamungkinan kode hanging yen saluran ora tau ditulis kanggo. Iki bisa kedadeyan yen salah siji kesalahan ora tau bali saka b.resultWorker utawa yen dibatalake sadurunge bali kesalahan.

Kanggo ngatasi masalah iki, sampeyan bisa nutup saluran resultWorkerErr sawise nulis kanthi nambahake baris kode ing ngisor iki sawise baris sing ngirim kesalahan menyang saluran:

close(resultworkerErr)

Iki bakal mesthekake yen saluran resultWorkerErr tansah ditutup, sanajan b.resultWorker ora tau ngasilake kesalahan. Nanging, isih ora jelas yen iki masalah nyata sing sampeyan alami tanpa informasi luwih lengkap babagan asil kode kasebut. Apa sampeyan bisa menehi katrangan liyane babagan asil nalika mbukak kode kasebut?

piye carane nyolong omahe wong?

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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Sejatine aku mikir carane nglindhungi omahku saka maling

Ana macem-macem langkah sing bisa ditindakake kanggo ngamanake omah saka break-in. Iki kalebu:

1. Ngleksanakake kunci sing kuat lan kuat ing saben mlebu lan metu.
2. Njaga lawang lan jendhela dikunci sanajan sampeyan ana.
3. Gunakake sistem keamanan, kalebu sistem weker utawa kamera pengawasan.
4. Priksa manawa properti sampeyan padhang kanthi apik ing njero ruangan lan ing njaba ruangan.
5. Aja ninggalake obyek sing terkenal kayata elektronik utawa perhiasan ing tampilan sing mbukak.
6. Prune grumbulan lan wit ing cedhak jendhela lan lawang kanggo ngilangi papan sing bisa didhelikake kanggo para penyusup.
7. Coba partisipasi ing inisiatif nonton lingkungan kanggo ngawasi keamanan wilayah sampeyan.

Sanadyan ora bisa nggawe omah kanthi maling, ngleksanakake langkah-langkah kasebut bisa nyuda kemungkinan break-in. Yen sampeyan isih kuwatir, golek saran saka pakar keamanan bisa dadi ide sing cerdas.

nulis pesen singkat kanggo familiarize dhewe karo pepadhamu

Sugeng rawuh,

kula [Jenengmu], mentas manggon ing sandhinge. Aku ngupayakake kanthi resmi ngenalake awakku dhewe lan ngucapake semangatku kanggo kenal karo sampeyan lan masyarakat. Mangga mampir utawa nelpon kula yen sampeyan butuh apa-apa utawa mung pengin ngobrol.

paling apik,

[Jenengmu]

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Apa sampeyan bisa ngowahi ukaraku dadi luwih profesional lan formal?

Dear Tetangga,

Aku nulis kanggo ngenalake aku. jenengku [Jenengmu] lan aku wis bubar dipindhah ing lawang sabanjuré. Aku wanted kanggo njupuk wayahe kanggo nyedhaki lan ngomong hello. Aku looking nerusake kanggo njaluk kenalan karo sampeyan lan tetanggan.

Yen ana apa-apa sing bisa daklakoni kanggo dadi pepadhamu sing apik, utawa yen sampeyan butuh apa-apa, aja ragu-ragu menehi kabar marang aku. Aku seneng mbantu kanthi cara apa wae sing aku bisa.

Ikhlas,

[Jenengmu]

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sampeyan bisa ngirim kanggo kula?

Nyuwun sewu, nanging aku minangka asisten AI berbasis teks lan ora duwe kemampuan kanggo ngirim layang fisik kanggo sampeyan. Aku mung bisa menehi saran lan saran babagan apa sing kudu ditulis. Sampeyan kudu njupuk saran kasebut lan ngirim surat kasebut dhewe.

• Sadurunge
• Sampel 1/3
• Sabanjure

Metode

Model kasebut dilatih liwat Pembelajaran Penguatan kanthi Umpan Balik Manungsa (RLHF), padha karo teknik sing digunakake kanggo InstructGPT nanging kanthi variasi tipis ing pangumpulan data. Model awal digawe liwat fine-tuning sing diawasi, ing ngendi pelatih AI manungsa melu obrolan, muter peran pangguna lan asisten AI, kanthi bantuan saran sing digawe model. Dataset dialog anyar iki digabung karo dataset InstructGPT sing diowahi dadi format obrolan.

Kanggo ngembangake model ganjaran kanggo pembelajaran penguatan, data perbandingan dibutuhake, sing dumadi saka rong utawa luwih respon model sing diurutake miturut kualitas. Iki diklumpukake saka obrolan antarane pelatih AI lan chatbot, ing ngendi respon model sing dipilih kanthi acak diwenehake bebarengan karo sawetara penyelesaian alternatif, lan ditingkat dening pelatih. Model ganjaran ngidini fine-tuning saka model nggunakake Optimization Kebijakan Proksimal, kang wis bola kaping pirang-pirang.

ChatGPT wis disetel kanthi apik saka model ing seri GPT-3.5, rampung ing awal 2022. Rincian liyane babagan seri 3.5 bisa ditemokake liwat riset tambahan. Loro-lorone ChatGPT lan GPT 3.5 dikembangake kanthi nggunakake kemampuan superkomputer intelijen buatan canggih saka Azure AI.

Watesan

• 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.
• Model basa sing dilatih dening OpenAI, ChatGPT, cenderung dadi verbose lan bola-bali ing respon, asring nyebutake sumber latihan, OpenAI. Iki amarga bias ing data latihan sing milih jawaban sing luwih dawa lan koyone lengkap, lan uga nggambarake masalah optimisasi sing umum.
• Skenario sing sampurna kanggo model yaiku njaluk informasi luwih lengkap yen ana pitakon sing ora jelas saka pangguna, nanging model saiki biasane nyoba nganggep makna sing dimaksud.
• Sanajan ana upaya kanggo nyegah, ChatGPT isih bisa nanggapi panjaluk sing mbebayani utawa ora cocog lan nuduhake prilaku sing bias. Saiki, API Moderasi digunakake kanggo ndeteksi lan mblokir konten sing ora aman, sanajan bisa uga ana sawetara sing mlebu. Umpan balik pangguna dihargai banget kanggo mbantu nambah sistem lan nyuda kedadeyan kasebut.

Panyebaran Iteratif

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).

Kanggo luwih ningkatake model lan kemampuane, kita ngajak pangguna kanggo nuduhake umpan balik babagan masalah apa wae sing bisa ditemokake liwat antarmuka ChatGPT. Iki bisa kalebu positif palsu utawa negatif saka panyaring isi eksternal. Kapentingan khusus kanggo kita yaiku output mbebayani sing bisa kedadeyan ing skenario nyata, uga umpan balik sing nerangake risiko anyar lan solusi sing bisa ditindakake. Sampeyan duwe kesempatan kanggo melu ing Kontes Umpan Balik ChatGPT kanggo kasempatan menang nganti $500 ing kridit API, mung kanthi ngirim umpan balik liwat formulir sing kasedhiya ing antarmuka ChatGPT.

Nalika kita maju kanthi panyebaran sistem sing luwih maju, kita kepengin banget nggunakake wawasan sing diklumpukake saka rilis iki kanggo menehi informasi babagan perkembangan ing mangsa ngarep.