Starling-7B: Increasing LLM Helpfulness and Harmlessness with Rlaif
This article from the Starling Lab at the University of California, Berkeley, provides an overview of their research into artificial intelligence (AI) and natural language processing (NLP). The lab focuses on AI as a way to help humans understand and interact with computers. Research topics range from using AI for automatic text summarization, question answering, and natural language generation to developing new methods for machine learning. They also explore how AI can be applied to areas such as robotics, autonomous vehicles, healthcare, financial services, and more.
The Starling Lab is working towards developing AI algorithms that enable machines to better understand and interact with humans. Their research covers a wide range of topics, including natural language processing, deep learning, reinforcement learning, computer vision, and multi-agent systems. To achieve these goals, they are exploring methods for learning from large datasets, reasoning over complex environments, and managing uncertainty in data.
The researchers at the Starling Lab are also developing tools to make AI more accessible and useful to industry, government, and society. This includes developing ways to make data more manageable, integrate AI into existing systems and applications, and ensure safety and trustworthiness when deploying AI systems.
Finally, the lab is committed to fostering an environment where the voices of students, faculty, and members of the public can come together to discuss the ethical implications of AI. They hope to use this platform to promote responsible AI development and usage and build a more equitable and safe future for everyone.
Read more here: External Link