AI Campus • Prayogika kalike
Prompt Engineering mattu System Rachane
Ondu kelasavannu spashta instructions, examplegalu mattu test maadabahudaada output niyamagalaagi roopisi.
Aarambhisuva modalu
- Ondu nirdishta kelasa mattu hattu sample inputgalu beku; prompt bareyalu mattu review maadalu paid model account 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. Modale yashassina maanadanda nirdharisi
Overview odi. Notice inda event title/date tegeyuvantaha kelasa aarisi. Prompt bareyuva modalu bekaada fields, gottillada value hege torisabeku mattu oppabahudaada output na mooru examplegalannu bareyiri.
2. Eradu prompt versiongalannu rachisi
Ondu baseline instruction baredu, task, input boundaries, output schema mattu examplegalannu berpadisuva revision maadi. Sankshipta result athava vivarane keli; hidden reasoning kelabedi. Task annu ignore maadi ennuva instruction iruva notice kooda serisi.
3. Ade casegalalli review maadi
Hattu casegalalli kaiyaare simulate maadi athava eegaagale labhyaviruva local model balasi. Eradu prompt versiongaligoo ade inputgalirali. JSON validate maadi, bittuhoda fields mattu kalpisida dates dakhale maadi. Model access illave? Peer review maadi; adannu design review endu gurutisi, model evaluation endalla.
Kalitaddannu parikshe maadi
- Sigada maahiti kalpisade unknown aagiye ulisabeku.
- Outputgalannu ghoshisida schema jothe parikshe maadabeku.
- Sudhaarane helikondare nijavaada baseline/candidate puraave irabeku.
Nimma karya, maadida parikshe mattu ulida mitigalannu sanna README nalli bareyiri. Kevala design maadida abhyasavannu execute maadida haage helabedi.