The latest articles on DEV Community by Ayman Salah (@ayman_salah_03dd379e468cc). https://dev.to/ayman_salah_03dd379e468cc https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2662520%2Fc5094110-f9a6-42cc-86d0-a7c843e7f41b.png https://dev.to/ayman_salah_03dd379e468cc en Ayman Salah Mon, 06 Jan 2025 07:00:44 +0000 https://dev.to/ayman_salah_03dd379e468cc/how-to-train-a-llama-model-using-my-database-to-answer-analytical-questions-about-the-data-13mj https://dev.to/ayman_salah_03dd379e468cc/how-to-train-a-llama-model-using-my-database-to-answer-analytical-questions-about-the-data-13mj <p>I have a database that contains data about customers, purchases, and product categories. I want to use the LLaMA model (via Ollama) to analyze this data and answer questions like:</p> <p>How many customers purchased items in Category A with a price less than $100? What are the total sales for a given month? Here’s what I need to achieve:</p> <p>Input Data: The data can be provided in different formats (e.g., direct connection to the database, CSV files, etc.).</p> <p>Explain Schema: I will explain the meaning of each column and the relationships between tables to the model.</p> <p>Persistent Learning:</p> <p>The model should persist the analysis results so it can recall them even after a restart. Daily new data should be added, and the model should incrementally incorporate it into its analysis.</p> <p>Expected Output: The model should generate statistics and answer analytical questions based on the data provided.</p> <p>Questions:</p> <p>Which approach or tools should I use to implement this?</p> <p>How do I make the model understand the database schema and train it effectively?</p> <p>How can I ensure the model retains knowledge of the data between restarts (persistent storage)?</p> <p>Is LLaMA the right choice for this kind of task, or is there a better model for database-related question answering?</p>