Awọn ile-iṣẹ Itọsọna
Google AI
Google ilolupo eda abemi AI ti ni iwadii, awọn ohun elo alabara, awọn irinṣẹ Olùgbéejáde, ati awọn iṣẹ awọsanma.
Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min
Lori iwe yi2 min ka
Akopọ
Gemini models, the Gemini application, Google AI Studio, and cloud deployment products have different roles. A capability announced in one setting is not automatically available in every other setting.
Awọn gbigba bọtini
- Identify the service and model separately.
- Verify account-specific feature availability.
- Evaluate the full evidence and data-handling workflow.
Jin Dive
Identify the interface and account context first. A consumer application may manage tools and settings for the user, while a developer API requires the application to manage prompts, data flow, permissions, and error handling. A cloud deployment can add its own access and operational controls. Check the specific model and feature documentation. Input types, tool support, quotas, and availability can change by model, endpoint, account, or region. Avoid using a broad Gemini label as a substitute for the configuration actually tested. Evaluate evidence use and multimodal behavior separately. A system may read an image or document while still missing small text, conflicting passages, or temporal information. Retrieval or search support does not remove the need to verify the final claims. Read the data terms and retention controls for the chosen service. Do not assume that settings in a consumer product apply to a developer project. Record versions and compare the full workflow with suitable alternatives before adopting it for an important task.
04Apẹẹrẹ ṣiṣẹ
Check the deployment surface
Imagine a feature demonstrated in a consumer app, while a team plans to build it through an API.
Locate the API documentation for the required input, output, and tools rather than assuming the interfaces are equivalent.
Prototype the complete path and record the model and project settings used in the evaluation.
Ohun ti o fihan
The hypothetical scenario prevents a product demonstration from becoming an unsupported integration assumption.
Real-World imuse
Test a selected Gemini API configuration on the actual document formats required.
Verify quota and feature availability in the intended project before designing a dependency around it.
Fifi o sinu iwa
Kini idi ti o ṣe pataki
- Ilana olutaja. Awọn maapu opopona olutaja ni ipa kini awọn ẹya ti ẹgbẹ rẹ le kọ ni atẹle.
- Iye owo ati isuna. Awọn ofin iṣowo ati awọn aṣayan imuṣiṣẹ ni ipa lori idiyele igba pipẹ ati eewu.
- Ewu ati ailewu. Awọn imoriya ile-iṣẹ ṣe apẹrẹ awọn abawọn ọja, iduro ailewu, ati ṣiṣi.
Ṣọra fun
- Awọn ikede ifilọlẹ le ju iduroṣinṣin lọ ni awọn iṣan-iṣẹ iṣelọpọ gidi.
- Ifowoleri API tabi awọn iyipada eto imulo le fọ awọn arosinu ni alẹ.
- Igbẹkẹle olutaja ẹyọkan ṣe alekun titiipa-inu ati awọn idiyele ijira.
Next awọn igbesẹ
- Ṣe ayẹwo awọn olupese nipa lilo awọn iṣẹ ṣiṣe tirẹ ati awọn ipilẹ data.
- Ṣe atunyẹwo asiri, aabo, ati awọn ofin ofin ṣaaju iṣọpọ.
- Ṣetọju eto ipadabọ kọja awọn awoṣe tabi awọn olutaja.
- Bojuto awọn akọsilẹ itusilẹ nitoribẹẹ awọn iyipada maapu oju-ọna ma ṣe iyalẹnu awọn ẹgbẹ.
Awọn orisun ati siwaju kika
Tesiwaju Ṣiṣawari
Ìwé ìròyìn ọfẹ
Gba ìkànìyàn AI ojoojúmọ́
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Take the Google AI quiz
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Awọn ibeere ti a beere nigbagbogbo
Does a Gemini app feature automatically exist in the Gemini API?
No. Check the relevant API documentation and project availability for that feature.
Tesiwaju kikọ
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