InoteveraGaidhi rinotevera
IBM Granite Models
Makambani
Makambani GUIDE
IBM AI
IBM's AI ecosystem inosanganisira nheyo dzemhando uye bhizinesi maturusi ekugadzira, kushanda, uye kutonga maAI application.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Iyo watsonx chikuva uye Granite modhi mhuri zvikamu zvakasiyana. Chigadzirwa chekutonga chinogona kutsigira maitiro, asi kuvapo kwacho hakungoratidzi kuti chikumbiro chinoenderana kana chakavimbika.
Zvakakosha zvinobuda
- Kusiyanisa mamodheru kubva pachikuva chekushandisa.
- Ongorora zvakaburitswa.
- Batanidza marekodhi eutongi nesarudzo dzekuendesa chaidzo.
Kudzika Kwakadzika
Ziva modhi uye chikamu chepuratifomu zvakasiyana. Muenzaniso unopa maitiro akadzidzwa, nepo maturusi ekusimudzira uye ekutonga anoronga mafambiro ebasa, ongororo, zvinyorwa, uye kutarisa. Kugona uye sarudzo dzekuendesa dzinosiyana pane zvigadzirwa uye zvigadziriso. Kuti uwane sarudzo yemuenzaniso, ongorora iyo chaiyo yekusunungurwa kwainotarisirwa kushandiswa, rezinesi, zvinotsigirwa zvinopinda, uye humbowo hwekuongorora. Zita remhuri hariburitse zvimiro zveyese yekutarisa. Enzanisa muenzaniso chaiwo nehwaro hwakakodzera pane basa rakarongwa. Pakutonga, tsanangura vanhu vane mutoro uye humbowo hunodiwa. Zvigadzirwa zvemhando, marekodhi ekubvumidza, kuongororwa kwenjodzi, uye kutarisa zvinogona kubatsira chete kana zvakachengetedzwa uye zvakabatana nesarudzo dzekuburitsa chaidzo. Dashboard haigoni kutsiva maitiro ekuongorora kuzvidavirira. Tarisa miganhu yekubatanidza neyechitatu-bato modhi uye iripo data data. Rekodha kuti ndeupi ruzivo rwakaunganidzwa, kwainochengeterwa, ndiani anogona kuawana, uye ndeapi madhiraivha ari kunyatsoshanda. Simbisa mafambiro akazara usati wavimba nezvikumbiro zvekugadzirira bhizinesi.
04Muenzaniso wakashanda
Tarisa uone kana hutongi huri kushanda
Fungidzira modhi yakanyorwa muinventory seyakatenderwa, asi application yachinja kune nyowani yekutarisa.
Enzanisa chiziviso chakaiswa nemvumo uye rekodhi rekodhi.
Gadziridza maitiro ekuongorora uye kuburitsa kuitira kuti zvinyorwa zvidzorerwe zvishande kune iyo system inoshanda chaizvo.
Zvazvinoratidza
Muenzaniso wakagadzirwa unosiyanisa hutongi hunoshanda hufambiro kubva kune yakamira inventory yekupinda.
Kuitwa muNyika yeChokwadi
Batanidza kuburitswa kwemodhi kune yayo yekuongorora uye yekubvumidza rekodhi.
Iva nechokwadi chekuti kuongorora kunovhara iyo chaiyo yechitatu-bato modhi yekumisikidzwa inoshandiswa neapp.
Kuzvishandisa
Nei zvichikosha
- Nzira yemutengesi. Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
- Mutengo uye bhajeti. Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
- Ngozi uye kuchengeteka. Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Chenjera
- Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
- Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
- Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Matanho anotevera
- Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
- Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
- Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
- Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Sources uye kuwedzera kuverenga
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
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