π¦ LLaMA Product Recommender ποΈ The power of LLMs and incorporating product and department information, this model provides personalized and relevant product suggestions to users.
π Key Features:
π Data Preprocessing: Combines product and department data into a comprehensive dataset.
π― Model Training: Fine-tunes a pre-trained LLM (e.g., LLaMA-2) using PEFT (parameter-efficient fine-tuning) for optimal performance.
π¬ Text Generation: Generates product recommendations based on user-provided text prompts.
π Evaluation: Assesses the model's performance using appropriate metrics to ensure accuracy and relevance.