> For the complete documentation index, see [llms.txt](https://docs.cloud.olakrutrim.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloud.olakrutrim.com/basics/ai-studio/ai-jobs.md).

# AI Jobs

## AI Jobs

In AI Studio, an **AI Job** is any task that runs on a model—whether you're generating outputs, customizing model behavior, validating performance, or preparing for production use.

Each AI Job uses a specific model version and executes a well-defined operation, with its own inputs, configuration, and outcomes.

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### Types of AI Jobs

#### 1. Inferencing

Run prompts or inputs through a model to generate outputs.\
Useful for testing, prototyping, or integrating model predictions into your applications.

Learn more → [Inferencing](/basics/ai-studio/ai-jobs/inferencing.md)

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#### 2. Fine-Tuning

Train a base model on your domain-specific data using LoRA adapters.\
Produces a customized model that better understands your specific use case or terminology.

Learn more → [Fine-Tuning](/basics/ai-studio/ai-jobs/fine-tuning.md)

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#### 3. Evaluation

Measure how well a model performs before deployment.\
AI Studio supports:

* **Model Evaluation** for accuracy and task relevance
* **Performance Evaluation** for latency, throughput, and error rates

Learn more → [Evaluation](/basics/ai-studio/ai-jobs/evaluation.md)

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#### 4. Deployment

Turn a model into a production-ready endpoint. We currently support only Finetuned Model deployment. You can choose to deploy it:

* Shared Instance
* Dedicated Instance

Learn more →[ Deployment](/basics/ai-studio/ai-jobs/deployment.md)