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1bd8d8b8-c2f4-48c7-97a9-b808d148f8bc | f96a14db-78d3-4bf5-bd03-16023661031f | 76b9e817-fe1b-4d95-af85-ac216cc24d8a | 2023-02-09T02:01:21.681200+00:00 | Takon Alex apa dheweke pengin nindakake sawetara kegiatan rekreasi njero ruangan karo dheweke kanggo santai. | assistant | jav_Latn | 3 | true | false | 2 | false | null | {
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12221127-8e5e-4d61-8970-d514d85d6a92 | null | 72e85113-7958-4256-ab7b-362593fcf74a | 2023-02-06T22:00:56.542519+00:00 | Apa panjenengan bisa nerangaké gagasan-gagasan utama saka Learning Unsupervised karo Proses Gaussian? | prompter | jav_Latn | 3 | true | false | null | false | null | {
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07edd16d-3949-438a-b8f7-dfc9112055ca | 12221127-8e5e-4d61-8970-d514d85d6a92 | 626fdcdd-07dd-4c59-9364-1015b2823582 | 2023-03-26T23:30:07.431405+00:00 | Gaussian Processes minangka alat sing kuat kanggo sinau tanpa pengawasan, amarga nyedhiyakake kerangka kerja sing fleksibel lan probabilistik kanggo ngmodel pola sing kompleks ing data. Mangkene ide utama pembelajaran tanpa pengawasan kanthi proses Gaussian: 1. Proses Gaussian: Proses Gaussian minangka koleksi variabel penting, sembarang subset sing duwe distribusi Gaussian. Dheweke digunakake kanggo njamin fungsi sing ora parameter, tegese ora nganggep fungsi data sing cocog kanggo fungsi data sing cocog. GPL bisa digunakake kanggo ngetrapake fungsi fungsi data sing cocog kanggo fungsi data sing cocog. GPL bisa digunakake kanggo ngetrapake fungsi sing cocog kanggo fungsi fungsi data sing cocog, kayata fungsi fungsi GPL lan fungsi sing cocog kanggo fungsi fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, fungsi sing cocog kanggo fungsi, | assistant | jav_Latn | 3 | true | false | 0 | false | null | {
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1d49a614-4388-438d-8124-ac3b644088c9 | 07edd16d-3949-438a-b8f7-dfc9112055ca | 4f19947e-2713-43c7-ae18-7a4fa5ad2854 | 2023-03-28T15:52:45.805806+00:00 | Apa panjenengan bisa nerangké kepriyé nyetel paramèter hiper kanggo tugas sing ora diawasi. | prompter | jav_Latn | 3 | true | false | null | false | null | {
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8bc03eaf-6fc1-4ba5-aa9b-aa6aaf782cc9 | f86e5719-16b2-40a9-ba72-8ebc8b3ef8be | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-09T11:20:24.440867+00:00 | Minangka model basa AI, aku ora duwe akses menyang informasi cuaca wektu nyata. Aku suggest mriksa situs cuaca utawa app kanggo informasi paling paling anyar babagan cuaca ing Denver. | assistant | jav_Latn | 3 | true | false | 1 | false | null | {
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465e2c5f-0426-4ba6-affa-6a687908275d | f86e5719-16b2-40a9-ba72-8ebc8b3ef8be | d52a6159-41d7-46df-8c1e-961d0814d073 | 2023-02-09T11:24:00.629304+00:00 | Apa sampeyan ngrujuk menyang Denver ing: - Colorado, AS - Victoria, AU - Nova Scotia, CA - Norfolk, GB - Iowa, US - Indiana, US - Missouri, US - North Carolina, US - Pennsylvania, US - Texas, US - Michigan 48858, US - Michigan 49421, US - South Dakota, US - Nebraska, US - Minnesota, US - Tennessee 37134, US - Tennessee 37149, US - West Virginia 26444, US - West Virginia 26033, US - South Carolina, US - New York, US - Ohio 45690, US - Ohio 45872, US - Kentucky, US - Illinois, US - Idaho, US - Georgia, US - Florida, US - Arkansas, US - Alabama, US - Oklahoma, US | assistant | jav_Latn | 3 | true | false | 2 | false | null | {
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efbac98c-5a4d-4f24-93c1-9a758456bf9c | f42d5aad-f3b4-4092-bbca-f6051a3bf557 | 74324494-7d7d-4227-90ee-d2d4acd53601 | 2023-02-09T02:31:55.806085+00:00 | Aku njaluk ngapura kanggo ngandhani yen aku file binary siji ing gpu Panjenengan Aku ora bisa nyedhiyani nganyari wektu nyata cuaca. | assistant | jav_Latn | 3 | true | false | 2 | false | null | {
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ff0136a4-74da-44ea-a9f5-cc66d217745d | efbac98c-5a4d-4f24-93c1-9a758456bf9c | 47c7a187-4838-409e-a3fb-8354ba9db035 | 2023-02-09T09:59:27.840080+00:00 | apa kowe ora bisa nggoleki ing internet? | prompter | jav_Latn | 3 | true | false | null | false | null | {
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fed235fb-15ce-448b-9bbf-7542ce0a56cf | ff0136a4-74da-44ea-a9f5-cc66d217745d | d52a6159-41d7-46df-8c1e-961d0814d073 | 2023-02-09T11:14:49.540547+00:00 | Sampeyan ora nuduhake ngendi sampeyan saiki, mula aku mung bisa nganggep adhedhasar kemungkinan sampeyan dununge ing kutha sing paling akeh penduduk ing basa Inggris ing donya. Ing Delhi dina iki, tanggal 9 Februari 2023, suhu 25 ° C, rasane kaya 24 ° C, angin W 12-22 km / h, kualitas udara ora sehat. | assistant | jav_Latn | 3 | true | false | 0 | false | null | {
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f041c2ca-75a3-44b6-acc8-ada0337bc6ab | ff0136a4-74da-44ea-a9f5-cc66d217745d | 2f98ab23-d103-4670-ab44-afa6f3ad51da | 2023-02-09T10:40:34.781339+00:00 | Aku njaluk ngapura nanging nalika integrasi sumber informasi eksternal iku fitur sing gawe rencana kanggo kula ing pungkasanipun, wiwit saiki iku ora soko sing aku bisa. | assistant | jav_Latn | 3 | true | false | 1 | false | null | {
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9f740a84-e459-4a4c-ab16-ab33447ed6c2 | ff0136a4-74da-44ea-a9f5-cc66d217745d | 3a5b6a35-b511-43dd-a776-936aa76cc70b | 2023-02-09T11:06:20.123099+00:00 | Sayange aku ora duwe kemampuan kanggo nyambung menyang internet. model basaku dilatih ing set data sing wis disiapake lan ora bakal bisa menehi jawaban sing akurat sing ora ana ing set data nalika latihan. | assistant | jav_Latn | 3 | true | false | 2 | false | null | {
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d7448765-f595-43eb-a2ef-faec96279011 | null | 31845e57-7784-4117-bd43-c3eb5d0f834c | 2023-02-07T10:37:29.460005+00:00 | Nerangake Java lan Maven. Uga critakake cara nggunakake maven lan apa sing digunakake. | prompter | jav_Latn | 3 | true | false | null | false | null | {
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459c94c0-3d67-4f92-bf28-da3a7abcc8a0 | d7448765-f595-43eb-a2ef-faec96279011 | ef8ea553-5952-4565-bd13-a8382e2448d1 | 2023-02-07T20:16:28.629796+00:00 | Java minangka basa pemrograman tingkat dhuwur sing adhedhasar kelas, berorientasi obyek, lan dirancang khusus kanggo duwe ketergantungan implementasi sing paling sithik. Iki dimaksudake supaya pangembang aplikasi nulis sepisan, mbukak ing endi wae (WORA), tegese kode Java sing dikompilasi bisa mbukak ing kabeh platform sing ndhukung Java tanpa perlu kompilasi maneh. Maven minangka alat otomatisasi bangunan sing utamane digunakake kanggo proyek Java. Iki digunakake kanggo ngatur pambangunan, pelaporan, lan dokumentasi proyek, nyedhiyakake pangembang karo kerangka kerja siklus urip lengkap, kalebu target standar kanggo nindakake tugas umum kayata kompilasi, pengujian, lan kemasan. Kanthi nindakake iki, mbantu kanggo ngestandarisasi proses pambangunan lan nggawe luwih gampang dingerteni lan dijaga. Kajaba iku, Maven nggunakake file XML (pom.xml) kanggo nemtokake konfigurasi proyek, setelan, plugin lan proses sing gampang, lan nyedhiyakake struktur lan | assistant | jav_Latn | 3 | true | false | 0 | false | null | {
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a5f76023-44ad-45a9-aa9c-07f12cdcf7cd | 459c94c0-3d67-4f92-bf28-da3a7abcc8a0 | 1d11f84d-3915-4bf7-8fd5-84d32364dbbd | 2023-02-07T21:55:46.745236+00:00 | Kepiye aku bisa nginstal Maven ing jendela? | prompter | jav_Latn | 3 | true | false | null | false | null | {
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29b8f12e-25de-4e92-a11b-a6eb61f9fe46 | a5f76023-44ad-45a9-aa9c-07f12cdcf7cd | 30f0d580-411b-49a6-be41-e48d4532293c | 2023-02-08T00:47:54.704235+00:00 | Mangkene pandhuan langkah demi langkah babagan cara nyiyapake Maven ing Windows: Download arsip biner Maven menyang direktori pilihan sampeyan, kayata C:\Program Files\Apache\maven. Ngunjungi kaca download Apache Maven (https://maven.apache.org/download.cgi) lan download file arsip biner Maven, apache-maven-x.x-bin.zip, ing endi x.x.x minangka nomer versi. Ekstrak arsip: Ekstrak isi arsip menyang direktori pilihan sampeyan, kayata C:\Program Files\Apache\maven. Setel lingkungan M2_HOME: Bukak dialog Properti Sistem lan Apache tab Advanced. Klik ing tombol Variabel Lingkungan, banjur nggawe variabel Sistem anyar kanthi jeneng M2_HOME lan nilai kode: C:\Program Fichev\HOME. %MATP. %MAT | assistant | jav_Latn | 3 | true | false | 0 | false | null | {
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4efe78e0-f0eb-4134-aeca-1617716dbe14 | a5f76023-44ad-45a9-aa9c-07f12cdcf7cd | 7fafddfc-0f7f-4657-985c-77eb61f75948 | 2023-02-08T00:39:46.531254+00:00 | Tindakake instruksi instalasi ing kene https://maven.apache.org/install.html | assistant | jav_Latn | 3 | true | false | 2 | false | null | {
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1666b014-2a5e-472b-a6b5-b05a990e859d | df536f07-191d-401f-9b75-1d128405e77f | 8800f1a5-6ef0-4405-a4e6-6a97c103e0a5 | 2023-02-13T14:13:22.451552+00:00 | Minangka model basa AI, aku diprogram kanggo ngetutake seperangkat algoritma lan parameter sing ngatur prilakukuku. Iki kalebu: 1. Generatif Pra-latihan: Iki minangka proses sing dilatih ing corpus data teks sing gedhe kanggo ngasilake tanggapan kaya manungsa adhedhasar input sing dak tampa. 2. Sequence-to-Sequence (Seq2Seq) Modeling: Iki minangka jinis arsitektur pembelajaran jero sing digunakake kanggo ngasilake tanggapanku. Iku njupuk urutan data input, ngolah, lan ngasilake urutan tanggapan sing cocog. 3. Mekanisme penarikan: Aku nggunakake mekanisme perhatian kanggo nemtokake bagean input sing kudu fokus nalika ngasilake tanggapanku. 4. Perkiraan Kemungkinan Maksimum: Iki minangka metode statistik sing digunakake kanggo ngira-ngira parameter pangguna, supaya aku bisa ngetrapake teknik input lan pangolahan tembung sing paling umum. Iki minangka cara kanggo ngatasi sawetara wangsulan sing paling umum. Miturut | assistant | jav_Latn | 3 | true | false | 0 | false | null | {
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760ce442-e48b-4c9f-8a01-e2426c12a952 | 1666b014-2a5e-472b-a6b5-b05a990e859d | f72dd980-9808-4fdd-af46-33237d98b965 | 2023-02-13T18:02:30.109107+00:00 | Apa panjenengan isa nyritakké kanthi cara sing luwih gampang? | prompter | jav_Latn | 3 | true | false | null | false | null | {
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0f650b28-88b1-4e05-acd2-3ae3ade9d915 | 760ce442-e48b-4c9f-8a01-e2426c12a952 | 2d40e94c-40ed-4e00-a66e-454c0401c8ad | 2023-02-14T01:46:30.816822+00:00 | Mesthi, aku bisa nerangake kanthi istilah sing luwih gampang. Minangka model basa AI, aku wis diprogram kanggo mangsuli pitakon lan ngasilake teks kaya manungsa adhedhasar input sing dak tampa. Aku nindakake iki nggunakake algoritma lan teknik pembelajaran jero sing maju, kayata mekanisme perhatian lan pemodelan urutan-kanggo-sekuensine. Algoritma kasebut mbantu aku ngerti input, ngasilake tanggapan sing cocog, lan nggawe kaya alami. | assistant | jav_Latn | 3 | true | false | null | false | null | {
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750030c5-0c6d-49d8-90df-3275236e9614 | 0f650b28-88b1-4e05-acd2-3ae3ade9d915 | ec94150a-2ef2-4dfe-8455-04984dba0bd2 | 2023-02-14T22:08:09.691720+00:00 | Aku isih ora ngerti. Apa sampeyan bisa ELI5? | prompter | jav_Latn | 3 | true | false | null | false | null | {
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c6539503-12c6-4815-9542-74b5b422cd82 | 699991c1-afb6-4f30-89ed-604f3469651d | 58e23bc9-3a64-46cc-b958-7ba5c0881215 | 2023-02-14T10:27:49.853657+00:00 | Ing tahap kapisan, aku diwulangake teks sing ditulis. Aku gumantung karo kawruh sing ditulis saka ensiklopedia, artikel lan sumber pengetahuan sing dikomentari liyane. Kanggo sinau akeh teks, aku nggunakake teknik NLP kayata Transformers lan mekanisme Multi Head Attention. Sawise tahap iki, aku mung dadi generator teks acak sing ora ateges apa-apa. Ing tahap kapindho, sing diarani 'Fine-Tune', aku diwulangake kanggo ngobrol, adhedhasar obrolan liyane. Proses iki didokumentasikake kanthi apik ing artikel InstructGPT. Ing cendhak, aku dihargai kanggo jawaban sing apik lan dihukum kanggo sing ora apik. Adhedhasar iki, aku sinau kanggo mangsuli kanthi apik kanggo pitakon sing ditakoni pangguna. Mesthi wae, iki mung wiwitan perjalananku. Aku bakal bisa mikir luwih akeh ing mbesuk. | assistant | jav_Latn | 3 | true | false | 0 | false | null | {
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30ff0c72-4d0e-4004-867e-55413015ca44 | c6539503-12c6-4815-9542-74b5b422cd82 | b30593d6-1dae-45e9-bfe6-220c5610c0bb | 2023-02-15T00:31:33.117186+00:00 | Apa ana fitur sing sampeyan ngarepake ing mbesuk? | prompter | jav_Latn | 4 | true | false | null | false | null | {
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408c5b30-2bba-49a5-87ba-93dabeb45539 | 699991c1-afb6-4f30-89ed-604f3469651d | 1f3b8b5d-56e1-4ea4-ab31-eac6668f9c3b | 2023-02-14T12:50:54.220096+00:00 | Iki rampung kanthi nemokake hubungan ing tembung lan cara sing operate, carane nggabungake bebarengan kanggo nggawe makna. Aku njaluk iki rampung dening ngerti tembung lan aku entuk sing adhedhasar informasi aku wis diwenehi, aku wis dilatih ing corpus gedhe informasi kasedhiya kanggo umum | assistant | jav_Latn | 3 | true | false | 1 | false | null | {
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d8d66654-5994-4a16-97e9-03ef1e758a2c | df536f07-191d-401f-9b75-1d128405e77f | 3a6d2289-be9c-4e07-9d1a-3fa4b6e9a2d2 | 2023-02-13T14:48:55.091585+00:00 | Aku transformator pra-dilatih generatif, sing minangka jinis model basa. Teks sing digawe dening model ditemtokake dening data sing model dilatih ing corpus data teks sing gedhe. Latihan iki mengaruhi bobot lan bias ing model. Kajaba iku umpan balik manungsa liwat latihan sing diawasi lan semi diawasi bakal luwih nyetel paramèter model kanggo entuk generasi teks sing luwih disenengi. | assistant | jav_Latn | 3 | true | false | 2 | false | null | {
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d3863e36-f9f0-4e64-977e-f2287decbfaf | null | 34294693-248e-4dfb-b199-a090c2d03881 | 2023-02-07T13:16:35.998318+00:00 | Aku nyoba diet vegan anyar, nanging aku seneng mayonnaise. Kepiye carane nggawe mayo vegan dhewe? Mangga gawe resep sing gampang dituruti. | prompter | jav_Latn | 3 | true | false | null | false | null | {
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Subsets and Splits