About the Tech Talk

The explosive growth of AI chatbots powered by large language models (LLMs) has introduced millions to prompt engineering — writing, evaluating, and optimizing natural language prompts to coax an LLM to complete a task. Join Riley Goodside, Staff Prompt Engineer at Scale AI, as he explores the origins of prompt engineering and how it evolved alongside models, from pre-trained LLMs to instruction tuning to RLHF. He explores the effects of limited context windows in LLMs, how these limitations are addressed today, and the potential of “long context” LLMs.

About Riley Goodside

Riley Goodside, Staff Prompt Engineer at Scale, is an expert in prompting large language models (LLMs) and integrating them into AI-powered applications. Riley is known for his Twitter, where he began posting GPT-3 prompt examples and screenshot demonstrations in 2022. Recently, he co-authored a blog post for Scale AI comparing Anthropic’s Claude to OpenAI’s ChatGPT. Previously, Riley worked as a Data Scientist at OkCupid, Grindr, and CopyAI.