LLM Based Chatbot

Large language model (LLM)-based chatbots are rapidly evolving, aiming to create conversational AI systems capable of engaging in complex, nuanced interactions and providing helpful information across diverse domains. Current research emphasizes improving response quality and safety through techniques like retrieval augmentation, reinforcement learning from human feedback (RLHF), and careful prompt engineering, often employing models such as GPT-4 and smaller, more computationally efficient alternatives. These advancements hold significant potential for applications in healthcare, education, legal support, and human resources, but ongoing research focuses on mitigating biases, ensuring accuracy, and addressing ethical concerns related to safety and responsible deployment.