Exploring DSPy: A More Robust and Systematic Approach to Prompt Engineering
Data Centric via YouTube
Overview
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Explore a more systematic and robust approach to prompt engineering through DSPy in this 48-minute video. Delve into the limitations of traditional prompt engineering methods, often likened to alchemy rather than engineering. Learn how DSPy framework offers a more structured and programmable alternative to the conventional long-text script "incantations." Gain insights into developing AI applications using Large Language Models (LLMs) more effectively. Access complementary resources including a detailed blog post and a Google Colab notebook to enhance your understanding. Follow the presenter on Medium for ongoing updates in AI, Data Science, and LLMs. For those interested in AI development or mastering LLM development, find information on scheduling a discovery call and joining a course waiting list.
Syllabus
Exploring DSPy, a More Robust and Systematic Approach to Prompt Engineering
Taught by
Data Centric