AI safety is a critical field of study that focuses on understanding and mitigating the potential risks associated with Artificial General Intelligence (AGI), especially as it continues to advance and becomes more capable. The primary goal of AI safety is to ensure that AI systems behave in a reliable and beneficial manner, causing no harm and always operating within safe boundaries. This involves developing methods to align AI objectives with human values and ethics, ensuring these systems are transparent, fair, and accountable. The field of AI safety is essential to building trust in AI technology and fostering widespread adoption, especially in high-stakes industries.
The LLM Knowledge Base is a collection of bite-sized explanations for commonly used terms and abbreviations related to Large Language Models and Generative AI.
It's an educational resource that helps you stay up-to-date with the latest developments in AI research and its applications.