Media Summary: In this video, we talk about Stanford NLP's AGENTIC CODING CLUB [ ⚡ my official community ] ▻ ⚡ Weekly ... Drew ran strategy, data science, and major client projects at PlaceIQ (acquired by Precisely) – a pioneer in mobile location ...
Streamlining Dspy Development Track Debug - Detailed Analysis & Overview
In this video, we talk about Stanford NLP's AGENTIC CODING CLUB [ ⚡ my official community ] ▻ ⚡ Weekly ... Drew ran strategy, data science, and major client projects at PlaceIQ (acquired by Precisely) – a pioneer in mobile location ... Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ... [2026 - Day 2 - Workshop] Sustainable prompt engineering is a challenge. Every time we change a model, update the distribution ... How to code an automatic prompt optimizer. How the most advanced prompt optimization tool,
Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string. As model performance converges, prompt optimization is the new competitive edge. In this session, we revisit Can algorithmically optimizing prompts outperform prompt engineering? Resources:
