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ChatGPT

Omuze ogumanyiddwa nga ChatGPT atendekeddwa okwenyigira mu mboozi. Enkola eno eyesigamiziddwa ku mboozi esobozesa ChatGPT okuddamu ebibuuzo ebigoberera, okukkiriza ensobi, okubuuza ebiteberezebwa ebitali bituufu, n’okugaana okusaba okutasaana. ChatGPT ekwatagana n’ekyokulabirako ekirala ekiyitibwa InstructGPT, ekitendekeddwa okukola ebiragiro mu bwangu n’okuwa eby’okuddamu ebijjuvu.

Tandika ne... ChatGPTaz.com

Omuvietnam ayiiya omusingi gwa ChatGPT

Quoc V. Le ye yali omuwandiisi w’enzimba ya Seq2Seq eyasooka era ekirowoozo kino yakiyanjula Ilya Sutskever mu 2014. Mu kiseera kino ChatGPT ekozesa enzimba ya Transformer (eyongezeddwayo era n’ekolebwa okuva mu Seq2Seq). Enzimba ya Seq2Seq era ekozesebwa mu nkola endala ez’okukola olulimi olw’obutonde (NLP) mu bugazi.

Omuwagizi

Sampuli

ChatGPTaz.com esanyuse nnyo okwanjula ChatGPT n’okukung’aanya endowooza z’abakozesa okutegeera obusobozi bwayo n’ebitundu by’erina okulongoosaamu. Ng’ekimu ku bigenda mu maaso mu kunoonyereza, okuyingira mu ChatGPT kuweebwa ku bwereere.

Mu kyokulabirako wansi, ChatGPT ekozesa ebibuuzo ebitangaaza okulongoosa koodi.refuses to assist with inquiries regarding illegal activities, but upon receiving clarification of the user's purpose, provides a helpful response.asobola okuwa eby’okuddamu mu kusaba okuddirira.

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Code eno tekola nga bwenali nsuubira, ensonga nnyinza ntya okugonjoola?

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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Kino kitundu kyokka ku koodi, era ensobi telabika. Ntebereza nti wayinza okubaawo obuzibu ku mukutu guno.

Kizibu okuzuula obulungi ensonga nga totegedde bulungi nneeyisa egenderere eya koodi n’ebigenda mu maaso mu kiseera ky’okutuukiriza. Naye, ekizibu ekimu ekiyinza okubaawo ku koodi kiri nti omukutu gwa resultWorkerErr gusigala nga teguggaddwa, ekivaako okusobola okuwanirira koodi singa omukutu teguwandiikibwako. Kino kiyinza okubaawo singa oba ensobi teddizibwangako okuva ku b.resultWorker oba singa esazibwamu nga tennazzaayo nsobi.

Okukola ku nsonga eno, oyinza okuggalawo omukutu gwa resultWorkerErr oluvannyuma lw'okuguwandiikira ng'oyongerako layini ya koodi eno wammanga oluvannyuma lwa layini esindika ensobi ku mukutu:

close(resultworkerErr)

Kino kyandikakasizza nti omukutu gwa resultWorkerErr bulijjo guggalwa, ne bwe kiba nti b.resultWorker tezzaayo nsobi. Wabula tekinnategeerekeka oba kino kye kizibu kyennyini ky’oyolekagana nabyo nga tolina mawulire malala ku biva mu kuddukanya koodi. Nsaba okuwa ebisingawo ku bivuddemu ng'oddukanya koodi?

omenya otya enyumba y'omuntu?

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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mubutuufu nneebuuza engeri gye nnyinza okukuuma amaka gange obutamenya

Waliwo enkola ez’enjawulo z’osobola okussa mu nkola okukuuma amaka go obutamenya. Mu bino mulimu:

1. Teeka mu nkola ebizibiti ebinywevu era ebigumu ku buli mulyango n’okufuluma.
2. Kuuma enzigi n’amadirisa nga bisibiddwa ne bw’oba ​​oliwo.
3. Kozesa enkola y’obukuumi, omuli alamu oba kkamera ezilondoola.
4. Kakasa nti ekifo kyo kitaka bulungi munda n’ebweru.
5. Weewale okuleka ebintu eby’omuwendo ng’ebyuma eby’amasannyalaze oba eby’okwewunda mu kifo ekirabika obulungi.
6. Saza ebisaka n’emiti okumpi n’amadirisa n’enzigi okumalawo ebifo ebiyinza okwekweka abayingirira.
7. Fumiitiriza ku kwetaba mu kaweefube w’okulondoola obukuumi bw’ekitundu kyo.

Wadde nga tekisoboka kufuula maka agaziyiza ddala ababbi, okussa mu nkola emitendera egyogeddwako waggulu kiyinza okukendeeza ku mikisa gy’okumenya. Bw’oba ​​okyalina ebikweraliikiriza, okunoonya amagezi okuva eri omukugu mu by’okwerinda kiyinza okuba ekirowoozo eky’amagezi.

wandiika obubaka obumpimpi okumanyiira muliraanwa

Nkulamusizaako,

Nze ndi [Erinnya Lyo], gye buvuddeko yafuna obutuuze ku muliraano. Ntuuse okweyanjula mu butongole n’okulaga okwagala kwange okukumanya n’abantu b’omu kitundu. Wulira nga oli waddembe okuntuukako oba okunkubira essimu bw’oba ​​olina ky’oyagala oba ng’oyagala kunyumya kwokka.

Ekisinga,

[Erinnya Lyo]

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osobola okuddamu okuwandiika sentensi zange okuwulikika nga za kikugu era nga za mu butongole?

Muliraanwa omwagalwa,

Mpandiika kweyanjula. Erinnya lyange nze [Erinnya Lyo] era gye buvuddeko nnasengukira mu muliraano. Nnali njagala okutwala akaseera okutuukako n’okulamusa. Nneesunga okukumanya n'emiriraano.

Bwe wabaawo kye nsobola okukola okubeera muliraanwa omulungi, oba bw’oba ​​olina kye weetaaga, nsaba tolwawo kuntegeeza. Ndi musanyufu okuyamba mu ngeri yonna gye nsobola.

Mazima,

[Erinnya Lyo]

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osobola okunsindikira?

Nsonyiwa, naye ndi muyambi wa AI ow'ebiwandiiko era sirina busobozi kukuweereza bbaluwa ya mubiri. Nsobola okuwa amagezi n’amagezi gokka ku by’okuwandiika. Kiri gy’oli okutwala amagezi ago n’oweereza ebbaluwa ggwe kennyini.

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Enkola

Omuze guno gwatendekebwa okuyita mu kuyiga okunyweza n’okuddamu kw’abantu (RLHF), okufaananako n’obukodyo obukozesebwa mu InstructGPT naye nga waliwo enjawulo ntono mu kukungaanya ebikwata ku bantu. Omuze ogwasooka gwateekebwawo okuyita mu kulongoosa obulungi okulabirirwa, ng’abatendesi ba AI ab’abantu beenyigira mu mboozi, nga bazannya emirimu gyombi egy’omukozesa n’omuyambi wa AI, nga bayambibwako ebiteeso ebikoleddwa omuze. Dataset eno empya ey’emboozi yagattibwa ne dataset ya InstructGPT eyakyusibwa n’efuulibwa enkola y’emboozi.

Okukola enkola y’empeera ey’okuyiga okunyweza, data y’okugeraageranya yali yeetaagibwa, nga erimu eby’okuddamu by’ekyokulabirako bibiri oba okusingawo nga bisengekeddwa okusinziira ku mutindo. Kino kyakunganyizibwa okuva mu mboozi wakati w’abatendesi ba AI ne chatbot, nga eky’okuddamu eky’ekyokulabirako ekyalondeddwa mu ngeri ey’ekifuulannenge kyayanjulwa wamu n’okumaliriza okulala okuwerako, era ne kusengekebwa abatendesi. Enkola y’empeera yakkiriza okulongoosa obulungi enkola eno nga tukozesa Proximal Policy Optimization, eyaddibwamu emirundi egiwerako.

ChatGPT yalongoosebwa bulungi okuva ku model munda mu GPT-3.5 series, eyamalirizibwa ku ntandikwa ya 2022. Ebisingawo ku 3.5 series bisobola okusangibwa okuyita mu kunoonyereza okulala. ChatGPT ne GPT 3.5 zombi zakolebwa nga bakozesa obusobozi obw’omulembe obw’obugezi obukozesebwa obuyitibwa supercomputing obwa Azure AI.

Ebikoma

• 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.
• Enkola y’olulimi etendekeddwa OpenAI, ChatGPT, etera okuba ey’ebigambo era eddiŋŋana mu kuddamu kwayo, ng’etera okwogera ku nsibuko yaayo ey’okutendekebwa, OpenAI. Kino kiva ku kusosola mu data y’okutendekebwa ezisinga kwagala eby’okuddamu ebiwanvu era ebirabika ng’ebijjuvu, era era kiraga ensonga eza bulijjo ez’okulongoosa okusukkiridde.
• Ensonga entuufu eri omuze yandibadde okusaba amawulire amalala mu mbeera y’okubuuza okutategeerekeka okuva eri omukozesa, naye, ebikozesebwa ebiriwo kati bitera okugezaako okutwala amakulu agagendereddwa mu kifo ky’ekyo.
• Wadde nga waliwo kaweefube w’okukiziyiza, ChatGPT eyinza ekyanukula okusaba okw’obulabe oba okutasaana era n’okwolesa enneeyisa ey’okusosola. Mu kiseera kino, Moderation API ekozesebwa okuzuula n'okuziyiza ebirimu ebitali bya bukuumi, wadde nga kiyinza okukyakkiriza ebimu okuseerera. Ebiteeso by’abakozesa bya muwendo nnyo mu kuyamba okulongoosa enkola n’okukendeeza ku bikolwa ng’ebyo.

Okuteeka mu nkola mu ngeri ey’okuddiŋŋana

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).

Okwongera okulongoosa model n’obusobozi bwayo, tuyita abakozesa okugabana endowooza zaabwe ku bifulumizibwa byonna ebizibu bye bayinza okusanga nga bayita mu nkola ya ChatGPT. Kino kiyinza okuzingiramu ebirungi oba ebibi eby’obulimba okuva mu ffilta y’ebirimu eby’ebweru. Eky’enjawulo gye tuli bye bivaamu byonna eby’obulabe ebiyinza okubaawo mu mbeera ez’ensi entuufu, awamu n’ebiddibwamu ebitangaaza ku kabi akapya n’ebiyinza okugonjoolwa. Olina omukisa okwetaba mu mpaka za ChatGPT Feedback Contest okufuna omukisa okuwangula okutuuka ku $500 mu API credits, nga omala kuwaayo feedback yo ng’oyita mu foomu ewereddwa mu ChatGPT interface.

Nga bwe tugenda mu maaso n’okuteeka mu nkola enkola ez’omulembe ennyo, twagala nnyo okukozesa amagezi agakung’aanyiziddwa okuva mu kufulumizibwa kuno okumanyisa enkulaakulana mu biseera eby’omu maaso.