From Poetry to Programming: The Evolution of Prompt Engineering with Riley Goodside of Scale AI
This podcast episode explores various aspects of language models, including advancements, prompt engineering, fine-tuning, limitations, creativity, and future developments. The speakers discuss the importance of refining prompts and providing high-quality examples for effective AI training. They also delve into the challenges of language model understanding and the potential of synthetic data augmentation. The episode highlights the need for careful model selection and post-training strategies to optimize performance. Additionally, it explores the future possibilities of AI models, including multi-step reasoning and training on diverse data sets. The conversation touches on the risks and defenses associated with language models, as well as the complexities of assessing intelligence in AI systems. Overall, the episode provides valuable insights into the current state and future directions of language models.