Enhancing Conversational AI: Building an Intelligent Chatbot with Llama Using LoRa & Analyzing Different Llama Models

Existing AI chatbots are challenged by multi-turn, complex dialogue, varied linguistic styles, scalability, response rates, and user satisfaction. To overcome these challenges, we are creating a Meta's Llama-based AI chatbot that is optimized for contextual, natural-sounding dialogue on multiple platforms. The objective of this AI chatbot is to support different language styles and optimize for low computation costs, rapid response rates, and high user engagement. The performance of the model will be measured by BLEU, METEOR, PERPLEXITY, and ROUGE scores prior to and after fine-tuning to enhance performance. The chatbot will also include multimodal capabilities, handling text, images, and other forms of media, and continuous learning and data optimization to guarantee scalability and better performance.