One of the most impactful prompting techniques you can use is any method of self-critique. In this lesson, we decouple this from the most familiar promoting strategies and zoom in on this technique.
Getting the most out of large language models requires the artful application of optimization techniques like prompt engineering, retrieval augmentation, and fine-tuning. This guide explores proven methods for maximizing LLM performance.
Large language models like GPT-4 are powerful but opaque "black boxes." New techniques for explainable AI and transparent design can help unlock their benefits while auditing risks.
Businesses often overlook the need for customized LLM evaluations aligned to real-world tasks. Generic benchmarks like perplexity offer little practical guidance. This guide provides a targeted framework for developing bespoke LLM scorecards based on 5 essential factors.
A 15-step methodology for crafting optimized AI prompts that tap into the full potential of AI systems. The process aims to maximize relevance, consistency and quality of outputs.
Before deploying large language models into the real world, be sure they've mastered the fundamentals. Evaluating LLMs on core abilities like summarization and question answering establishes a rigorous baseline for production readiness.