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Open-Source vs Proprietary LLMs yeBhizinesi
Zvikumbiro
Makambani GUIDE
Vhura sosi AI ine chekuita nerusununguko uye zvishandiso zviripo kushandisa, kudzidza, kugadzirisa, uye kugovana AI system.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Modhi inodhawunirodha haingovhurike otomatiki. Ongorora iwo chaiwo mazwi uye zvikamu zvakaburitswa, uye taura kuti ndeipi tsananguro yauri kushandisa.
Iyo Open Source Initiative's Open Source AI Tsanangudzo 1.0 inogadzirisa ruzivo rwedata, kodhi, uye ma paramita sezvikamu zvefomu rakasarudzika rekugadzirisa. Hazvingoenzanisi kuwana zviremu nekuvhurika, uye hazvidi kuti rekodhi yega yega yekudzidziswa igoverwe pachena. Ongorora chikamu chega chega chekuburitsa uye mazwi ayo. Kodhi, uremu hwemodhi, dataset, uye zvinhu zvinotsigira zvinogona kushandisa marezinesi akasiyana kana zvirambidzo. Miganho yekushandiswa kwekutengeserana, mamiriro ekugoverazve, kana zvimwe zvirambidzo zvinogona kukanganisa kana kuburitswa kunosangana netsanangudzo yakavhurika. Kuvhurika kunogona kutsigira kuongorora, kugadzirisa, uye tsvagiridzo yakazvimirira, asi haivimbisi kuberekana kana kunaka. Kushaikwa kwekugadzirisa, data isingasvikiki, zvinodiwa zvehardware, kana kusanyorerwa preprocessing zvinogona kudzivirira imwe timu kuburitsa mhedzisiro. Usati watora mwana, rekodha iyo chaiyo vhezheni, marezinesi, provenence, uye deployment zvinodiwa. Edza iyo modhi yebasa raunoda uye chengetedza chengetedzo uye zvidzoreso zvekuvanzika. Kuwanikwa kweveruzhinji hakubvisi mabasa esangano rinoshandisa hurongwa.
04Muenzaniso wakashanda
Fungidzira modhi ine huremu hunodhawunirodha asi isina kodhi yekudzidzira uye rezinesi rinorambidza kumwe kushandiswa kwekutengesa.
Nyora chokwadi ichocho pane kutsanangura kuburitswa senzvimbo yakavhurika isina kuganhurirwa.
Enzanisa zvinhu zviripo uye mazwi netsanangudzo yakataurwa uye nezvinodiwa zveprojekiti yakarongwa.
Zvazvinoratidza
Muenzaniso wakagadzirwa unoratidza maitiro ekuongorora kuburitswa pasina kuvimba neregi yekushambadzira.
Tarisa kodhi, uremu, uye dataset mazwi zvakasiyana pamberi pekugoverazve.
Gadzirazve diki diki kuyedza kuongorora kukwana kwekuburitswa.
Tsamba yemahara
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Kwete. Pasi peOSI's version 1.0 tsanangudzo, code yakakodzera, ruzivo rwe data, parameters, uye rusununguko rwakabatana zvose zvine basa.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Open-Source vs Proprietary LLMs yeBhizinesi
Zvikumbiro