Yaya kuke tsara aikace-aikacen da aka gida da AI?

Question

Accepted Answer

Tsara **aikace-aikacen da aka gida da AI** yana haɗa da zaɓar hanya ta AI daidai, jiyya da halaye na AI na musamman (rashin tabbatarwa, tsada, jinkiri, kuskure), da tsara don aminci a kusa da AI mara cikakke ta jiya. Yana haɗa da injiniyan software tare da la'akari na musamman na AI.

## Zaɓar hanya ta AI

```text
→ PROMPTING (LLM APIs) → for most LLM tasks (simplest); good prompts go far
→ RAG → to ground answers in your own/current DATA (reduce hallucination)
→ FINE-TUNING → for specific behavior/style prompting can't achieve
→ TRADITIONAL ML → for structured prediction/classification with data
→ PRE-BUILT services → vision, speech, etc. (don't reinvent)
→ match the approach to the problem (often: prompting + RAG for LLM apps)
```

## Tsara a gefen halaye na AI

```text
⚠️ AI is IMPERFECT/non-deterministic → design for it:
  ✓ VALIDATE AI output → don't blindly trust; structured output + validation; guardrails
  ✓ HANDLE ERRORS/failures → fallbacks; AI may be wrong, unavailable, or slow
  ✓ HALLUCINATION → ground (RAG), verify, cite, human review for important decisions
  ✓ HUMAN-IN-THE-LOOP → for high-stakes decisions (don't fully automate critical choices)
  ✓ NON-DETERMINISM → design for variability (don't assume identical outputs)
```

## La'akari na aiki

```text
✓ COST → LLM calls cost money (per token) → optimize, cache, monitor; choose right model size
✓ LATENCY → AI is slow → async, streaming, manage UX expectations
✓ Evaluation → how do you measure AI feature QUALITY? (testing AI is harder)
✓ SECURITY → prompt injection, data leakage, protect keys, sanitize I/O
✓ UX → set expectations, allow feedback/correction, graceful degradation
→ engineer reliable systems AROUND imperfect AI
```

## Yasa yana matukar muhimmi

Jikewa ta yaya ake tsara aikace-aikacen da aka gida da AI yana da daraja mafi girma saboda **gina aikace-aikace na ainihi na AI yana buƙatar jiyya ta halaye na musammu na AI**, don haka yana zama masu mahimmanci don masu sarrafa aikace-aikace da suke gina fasalai na AI.

Tsara aikace-aikacen AI yana haɗa da injiniyan software tare da la'akari na musamman na AI.

Jikewa ta **zaɓar hanya ta AI** — karanta kaɗai (LLM APIs, mafi sauƙi, don yawancin ayyukan LLM), RAG (dakatar a cikin ninka nawa/kasua ta waje don rage nisi), tsara gata (don halaye na musammu), ML na jiya (don tsinkaye na tsarki), da sabis da aka tsara — da haɗa hanya zuwa matsala (sau da yawa karanta kaɗai da RAG don aikace-aikacen LLM) yana nuna yankin gin da yaya ake yi amfani da AI.

Jikewa ta **tsara a gefen halaye na AI** yana da mahimmanci: saboda AI **marasa kirki da rashin tabbatarwa**, dole ne ku tsara don shi — **tabbatar output na AI** (ba tare da amini kawai ba, amfani da tsarin output da tabbatar), **jiyya kuskure da kasantsuwa** (hade inda AI ba daidai ba, ba akwai ba, ko jinkiri), jiyya **nisi** (dakatar ta RAG, tabbatar, bincike na ɗan adam don muhimmi na muhimmi), amfani da **ɗan adam-a-matakin** don yanke damje (ba buƙatarsa n'ɗan otometi na cikakke ba), da tsara don **rashin tabbatarwa**.

Waɗannan suna nuna fahimtar makillin cewa dole ne ku tsara tsarin aminci *kusa da* AI mara cikakke na jiya.

Jikewa ta **la'akari na aiki** — tsada (taƙaitarwa da ajiya na kiran LLM), jinkiri (async, strim), kimantakewa (aunawa da kalite na fasalin AI, wanda ya fi wahala), aminci (kunnawa na sarrafa, ɓarewa na data, garkuwa da maɓalli), da UX (saita jira, ba da izini ga gyara) — yana nuna cikakken haɗin gida na gina aikace-aikacen AI masu ƙarfi.

Yadda fasalai na AI ke zama na yau da kullun, tsara aikace-aikacen AI sosai (zaɓar hanya, jiyya mara cikakke, sarrafa tsada/jinkiri/aminci) yana zama ɗan sarrafa jita mai mahimmanci.

Saboda gina aikace-aikace na ainihi na AI yana buƙatar jiyya ta halaye na musammu na AI (mara cikakke, rashin tabbatarwa, tsada, jinkiri) da tsara tsarin aminci kusa da AI mara cikakke na jiya, da kuma saboda jikewa ta yaya ake zaɓa hanya da tsara don halaye na AI yana zama masu mahimmanci don masu sarrafa aikace-aikace, jikewa ta yaya ake tsara aikace-aikacen da aka gida da AI yana da daraja, bayan hankali masu mahimmanci na jiya — muhimmi don gina aikace-aikace na ainihi na AI (zaɓar hanya, tsara kusa da rashin cikakke na AI da rashin tabbatarwa, jiyya tsada/jinkiri/aminci), fahimtar makillin cewa tsara tsarin aminci kusa da AI marasa cikakke na jiya, da bayan hankali masu mahimmanci kamar yadda fasalai na AI ke zama a yau da kullun a cikin aikace-aikace.