AI Campus • Prayogika kalike
AI Product Yojane mattu Surakshate
AI featurege user phalitaamsha, kelasa mitigalu mattu vaastavika validation plan nirdharisi.
Aarambhisuva modalu
- Ondu nirdishta user samasye mattu balasabahudaada obbarinda feedback padeyuva avakaasha beku; paid toolgalu bekaagilla.
Ee oduva mattu planning abhyasagalige paid course athava API bekaagilla. Optional inference, training, IDE feature athava hosted sevege hardware, account athava paid access bekaagabahudu. Kharchu maaduva modalu local athava manual aayke balasi.
Official kalikeya maahitiyinda aarambhisi
Odalu free iruva moolagalannu 3 November 2026 randu parisheelisalagide. Documentation oduvudarinda provider athava subscription activate aaguvudilla.
Prayogika abhyasa maadi
1. Ondu-page feature brief bareyiri
Framework overview odi. User, eegina workflow, yashassina maanadanda mattu AI kelasa maadabaarada ondu paristhiti hesarisi. Product oohegalannu eegaagale iruva puraaveyinda berpadisi.
2. Failure mattu chetarike plan maadi
Aadharavillada uttara, data bayalaaguvudu athava tappaada delivery tara aidu sambhavaneeya failuregalannu patti maadi. Pratiyondakku prevention krama, detection signal, javabdaara vyakti mattu recovery step hesarisi. Guardrail annu guarantee endu torisabedi.
3. Chikka maulya prastaapavannu parikshe maadi
Spashtavaagi gurutisida prototype athava paper workflow annu balasabahudaada obbarige torisi. Avaru nijavaagi prayatnisiddu, gondalada amshagalu mattu kelasa poornavaayite endu dakhale maadi. Kalpisida revenue badalu spashta volume mattu price oohegalinda veccha andaaju maadi.
Kalitaddannu parikshe maadi
- Yashassina maanadanda model output maatra allade user nadavalike vivarisabeku.
- Failure casegalige gamanisabahudaada signal mattu javabdaara vyakti irabeku.
- Research phalitaamsha, oohe mattu test maadada plangalannu pratyekavaagi gurutisabeku.
Nimma karya, maadida parikshe mattu ulida mitigalannu sanna README nalli bareyiri. Kevala design maadida abhyasavannu execute maadida haage helabedi.