How can LLMs truly benefit society?
Cutting Through the Confusion and Hype: Understanding the True Potential of Generative AI
October 23, 2024
https://arxiv.org/pdf/2410.16629This paper provides a realistic overview of Generative AI (genAI), focusing on Large Language Models (LLMs) used in chatbot development. It explains LLMs, their capabilities, limitations, and integration with other technologies.
Key points for LLM-based multi-agent systems:
- LLMs are not databases: They don't store information but learn patterns from training data. Context size is limited and continual learning requires further training.
- Chatbots are complex systems: LLMs are just one component. Supporting technologies for context management, filtering, symbolic AI, data integration, agent interaction, and user interfaces are crucial.
- Systemic view is essential: Understanding the interplay between LLMs and other technologies like symbolic AI and reinforcement learning is vital for grasping genAI's impact.
- Ethical considerations are paramount: Potential job displacement, misinformation, power concentration, and unintended consequences need proactive mitigation strategies.