Navigating the Challenges of Prompt Engineering

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The evolution of prompt engineering has seen a shift from hobbyists to AI-first startups and eventually to 'real' companies making revenue from AI products. There is a maturation in the approach of companies towards AI and language models (LMs), where prompt engineering has become crucial for collaboration among stakeholders. The discipline of prompt engineering requires systematic methodologies due to building upon probabilistic technology, leading to models providing varying answers and being perceived as black boxes, making traditional deterministic troubleshooting methods impractical.

Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.

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