🔬Full-flow Usecases - The hands-on tutorials
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
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
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 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
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
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