Systematic LLM Prompt Engineering Using DSPy Optimization
#Article #Large_Language_Models #Artificial_Intelligence #Dspy #Editors_Pick #Llmops #Prompt_Engineering
via Towards Data Science
#Article #Large_Language_Models #Artificial_Intelligence #Dspy #Editors_Pick #Llmops #Prompt_Engineering
via Towards Data Science
Telegraph
Systematic LLM Prompt Engineering Using DSPy Optimization
This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world…
Why Your Prompts Don’t Belong in Git
#Article #Large_Language_Models #Artificial_Intelligence #Generative_Ai #Prompt_Design #Prompt_Engineering #Python
via Towards Data Science
#Article #Large_Language_Models #Artificial_Intelligence #Generative_Ai #Prompt_Design #Prompt_Engineering #Python
via Towards Data Science
Telegraph
Why Your Prompts Don’t Belong in Git
The hidden cost of storing prompts in your source code The post Why Your Prompts Don’t Belong in Git appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source