Riley Goodside

Riley Goodside, a staff prompt engineer at Scale AI, shares insights on mastering prompt engineering for large language models. He dives into the limitations and capabilities of LLMs, emphasizing the intricacies of autoregressive inference. Goodside discusses the effectiveness of zero-shot vs. k-shot prompting and the crucial role of Reinforcement Learning from Human Feedback. He highlights how effective prompting acts as a scaffolding structure to achieve desired AI responses, blending technical skill with strategic thinking.

In this engaging discussion, AI expert Alex Volkov, prompt injection specialist Simon Willison, and software engineer Riley Goodside dissect OpenAI's transformative Functions API. They dive into the significant 75% price drop and the increase in context length, exploring the implications for developers. Eric Elliott shares prompting techniques to enhance accuracy, while the panel addresses security concerns related to prompt injection. The conversation is rich with insights on coding efficiency, the future of AI tools, and the evolution of user interactions with these technologies.

Riley Goodside, the world's first Staff Prompt Engineer at Scale AI, dives into the art of prompt engineering and its critical role in enhancing AI interactions. He shares insights from his journey in data science, emphasizing the importance of clarity in crafting effective prompts. The conversation also covers the evolving capabilities of language models like GPT-4 and the nuanced landscape of AI advancements. Goodside discusses both the practical applications and future implications of AI technologies, advocating for a balanced understanding of their potential and limitations.

Riley Goodside, the world's first staff prompt engineer at Scale AI, shares his insights on the evolution of prompt engineering, revealing its shift from creative prompts to structured methodologies. He discusses the impact of language models like GPT-4 on AI applications and the need for effective integration and self-awareness in chatbot functionality. Riley also delves into weight Frankensteining, task-specific optimization, and the future of AI, highlighting career opportunities in prompt engineering and the economic benefits of automation in the industry.

Riley Goodside, a staff prompt engineer at Scale AI and former data scientist, delves into the intricacies of prompt engineering. He shares how writing prompts can be likened to coding and the recent advancements spurred by ChatGPT. The discussion covers various AI models, including o1 and Reflection 70B, emphasizing the importance of evaluation methods and user control in AI interactions. Goodside also highlights the evolving community of prompt engineers and the pressing need for education in effectively utilizing AI.