Overcoming Limitations of Large Language Models: Towards Genial and Self-Learning AI Assistants

Large language models (LLMs) have remarkable capabilities but also significant limitations, including hallucinations, harmful content, and difficulty following rules. Existing techniques like reinforcement learning from human feedback (RLHF) aim to address these issues, but a more autonomous, self-learning approach is needed to create truly genial AI assistants.