# Full-flow Usecases - The hands-on tutorials

| Name                                                                                                                                                                               | Description                                                                                                                                                                                                                                                                                                                                                         | Key Tutorials                                                                           |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| [**Continual Pretraining of Llama-3.2-1B with FPT AI Studio**](https://github.com/fpt-corp/ai-studio/blob/main/tutorials/continual-pretraining-of-llama-3.2-1b-with-fpt-ai-studio) | Perform step by step data preparation, model training (with FPT AI Studio) and evaluation with pretraining continue Llama-3.2-1B to improve the Vietnamese language ability of the model.                                                                                                                                                                           | Data Preparation, Continual Pretraining, Evaluation                                     |
| [**Log Tracking and Alerting with AI Analysis**](/fpt-ai-studio/full-flow-usecases-the-hands-on-tutorials/log-tracking-and-alerting-with-ai-analysis.md)                           | How a Large Language Model (LLM) can be leveraged to analyze system logs in real time, assess risk scores or security threats, and automatically generate user alerts.                                                                                                                                                                                              | Data Synthesis, Fine-tuning with LoRA, Evaluation, API integration into the application |
| [**Log Analyzer Chatbot**](/fpt-ai-studio/full-flow-usecases-the-hands-on-tutorials/log-analyzer-chatbot.md)                                                                       | How a Large Language Model (LLM) can serve as an intelligent assistant for log analysis, helping users find root causes, summarize logs, detect patterns, and interactively explore system behaviors through natural conversation.                                                                                                                                  | Data Synthesis, Fine-tuning with LoRA, Evaluation, API integration into the application |
| [**Healthcare & Food Chatbot**](/fpt-ai-studio/full-flow-usecases-the-hands-on-tutorials/healthcare-and-food-chatbot.md)                                                           | **Healthcare & Food Chatbot** demonstrates how a **Large Language Model (LLM)** can serve as an intelligent assistant for **healthy eating guidance and regional cuisine exploration**, helping users **learn about dishes, understand nutritional benefits**, and **interactively explore healthcare-related conversations** around food through natural dialogue. | Data Synthesis, Fine-tuning with LoRA, Evaluation, API integration into the application |
| [**Continual Pretraining for Log Analysis Chatbot**](/fpt-ai-studio/full-flow-usecases-the-hands-on-tutorials/continual-pretraining-for-log-analysis-chatbot.md)                   | Instead of training a model entirely from scratch, **Continual Pretraining (CPT)** extends a pretrained large language model (LLM) by exposing it to new, domain-specific data. This allows the model to learn domain language patterns while preserving its general natural language understanding.                                                                | Data Preparation, Continual Pretraining, Evaluation                                     |
| [**How to Estimate Training Time in FPT AI Studio**](/fpt-ai-studio/faq/how-to-estimate-training-time-in-fpt-ai-studio.md)                                                         | Estimate Training Time                                                                                                                                                                                                                                                                                                                                              | Estimate Time, Estimate Cost                                                            |


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