Menene jerin buɗi?

Question

Menene jerin buɗi?

Accepted Answer

**Jerin buɗi** shine aiki na tsarawa buɗi masu tasiri (jagora/inputs) don samun kyakkyawan sakamako daga ƙididdiga na AI, musamman LLMs. Tun da LLMs suna amsa ga buɗi na yaren jiya, hanyar da kake tsara buɗi yana tasiri sosai ga ingancin fitowa.

## Menene jerin buɗi

```text
PROMPT ENGINEERING → designing the input (PROMPT) you give an LLM to get the desired output:
  → LLMs respond to instructions in natural language → the prompt shapes the response
  → better prompts → better, more relevant, accurate results
  → no coding needed → you communicate with the model through well-crafted text
→ a key skill for effectively using LLMs
```

## Dabarun asali

```text
✓ BE CLEAR and SPECIFIC → state exactly what you want (vague prompts → vague results)
✓ Give CONTEXT → background info the model needs to respond well
✓ Specify FORMAT → ask for the output format you want (list, JSON, steps, length)
✓ Provide EXAMPLES (few-shot) → show examples of the desired input/output → guides the model
✓ Assign a ROLE → 'You are an expert...' → frames the response
✓ Break down COMPLEX tasks → step by step; 'think step by step' (chain of thought)
✓ ITERATE → refine the prompt based on results
```

## Me ya sa yana da mahimmanci

```text
→ the SAME model gives very different results based on the prompt → prompting is the
  main lever for output quality
→ effective prompting → get accurate, relevant, well-formatted, useful responses
→ increasingly valuable as LLMs are used everywhere (a practical, in-demand skill)
```

## Me ya sa yana da mahimmanci

Tunawa da jerin buɗi yana da mahimmanci, ilimin da ake buƙata a halin yanzu, saboda **buɗi shine hanyar farko don samun kyakkyawan sakamako daga LLMs**, waɗanda ake amfani da su a ko'ina, don haka yana da mahimmanci, ƙididdiga na aikin da ake nema.

Jerin buɗi — tsarawa buɗi masu tasiri don samun kyakkyawan sakamako daga LLMs — yana da mahimmanci saboda LLMs suna amsa ga buɗi na yaren jiya, kuma **hanyar da kake tsara buɗi yana tasiri sosai ga ingancin fitowa**.

Tunawa da menene jerin buɗi (tsarawa abin da ka ba LLM don samun abubuwan da kake so, tare da kyakkyawan buɗi suna ba kyakkyawan sakamako, ba a buƙata jerin ƙoɗi) yana tayyata da wannan ƙididdiga mahimmanci don amfani da LLMs da inganci.

Tunawa da **dabarun asali** — zama bayyane kuma karkace (buɗi mara jiya suna ba sakamako mara jiya), bayar da jiya, tsara amsa da neman, bayi misalai (ɗan-ɗan-buɗi), ba wa ƙididdiga aiki, tsara abubuwan da ba a sani (jira-da-tunani, tunani mataki ba mataki) — yana ba da aikin ƙarin ƙididdiga da yawa na tsarawa buɗi masu tasiri.

Tunawa da **me ya sa yana da mahimmanci** — cewa sama ƙididdiga yana ba da sakamako daban-daban ta hanyar buɗi (don haka buɗi shine fili nafi na ingancin fitowa), cewa buɗi masu tasiri suna ba da sakamako da dace, masu nema, da aka tsara kamar yadda aka so, kuma cewa yana ƙarin mahimmanci yayin da LLMs ake amfani da su a ko'ina — yana bayyana mahimmancin jerin buɗi da ingancin aikinsa.

Yayin da LLMs ke shiga cikin kayan aiki da abubuwa da yawa, iyawa buɗi masu inganci ita ce iyawa da ake ƙara buƙata, da mahimmanci a halin yanzu (don masu tsara jerin ƙoɗi da wasu da yawa).

Tun da buɗi shine hanyar farko don samun kyakkyawan sakamako daga LLMs (sama ƙididdiga yana ba da sakamako daban-daban ta hanyar buɗi), LLMs ake amfani da su a ko'ina, kuma buɗi masu tasiri (bayyane, jiya, tsari, misalai, aiki, mutum-da-mutum) yana da mahimmanci, tunawa da jerin buɗi yana ba da ilimin mahimmanci, da ake buƙata a halin yanzu — ƙididdiga mahimmanci na aikin da masu tasiri don amfani da LLMs (fili nafi na ingancin fitowa), ake nema sosai yayin da LLMs ke kasua gida, kuma ilimin da mahimmanci na aikin ba bubuwa don kowa da ke aikin tare da AI na zamani.