The Real Python Podcast Episode #306: Building LLM Prompts Programmatically Using DSPy
Manual LLM prompts are hard to test and reuse. DSPy helps teams define prompt behavior programmatically for easier maintenance and improvement.
Prompts
Copy-and-paste prompt packs by use case, with example outputs so you know what to expect.
WanPE: Advancing Cinematic Prompt Refinement for Contemporary Text-to-Video Generation
WanPE turns short prompts into shot-level plans via video-grounded reverse construction and SC-GRPO, improving 30-second text-to-video preference scores.
Tailored guidelines for ChatGPT
ChatGPT's custom instructions feature lets users set preferences once—such as their profession, preferred language, tone, and response format—and have them applied across all future conversations. Thi…
Beauty and creativity powered by ChatGPT data
The Estée Lauder Companies, parent of Clinique, M·A·C, and La Mer, has adopted ChatGPT Enterprise and custom GPTs to transform its operations. The company uses AI to analyze consumer feedback at scale…
Exploring prompt injection: an emerging challenge in AI security
Prompt injection is an emerging AI security threat where attackers sneak malicious instructions into input text, tricking AI models like GPT into overriding their original rules. Because language mode…
Core concepts of prompting
This beginner-friendly guide explains what a prompt is and how to craft effective instructions for ChatGPT. It covers the core elements of strong prompts—task, context, format, tone, and constraints—a…
Enhancing ChatGPT's Context Awareness in Sensitive Dialogues
OpenAI has updated ChatGPT with improved context awareness for sensitive dialogues. Instead of evaluating each message in isolation, the assistant now considers the full conversation flow, detecting p…
5 Effective Techniques for Optimizing Prompts to Enhance LLM Output
This article distinguishes prompt optimization from prompt engineering and presents five evidence-backed techniques to refine existing prompts for better LLM results. Using a messy three-person meetin…