Evaluating Prompt Effectiveness: Key Metrics and Tools
Learn how to evaluate prompt effectiveness for AI models. Discover essential metrics and tools that help refine prompts, enhance accuracy, and improve user experience in your AI applications.`
prompt engineering
Zero-Shot vs. Few-Shot Prompting: Choosing the Right Approach for Your AI Model
Explore the differences between zero-shot and few-shot prompting to optimize your AI model's performance. Learn when to use each technique for efficiency, accuracy, and cost-effectiveness.
The Complete Guide to Prompt Engineering
What is Prompt Engineering?
At its core, prompt engineering is about designing, refining, and optimizing the prompts that guide generative AI models. When working with large language models (LLMs), the way a prompt is written can significantly affect the output. Prompt engineering ensures that you create prompts that consistently generate
OpenAI’s Prompt Caching: A Deep Dive
This update is welcome news for developers who have been grappling with the challenges of managing API costs and response times. OpenAI's Prompt Caching introduces a mechanism to reuse recently seen input tokens, potentially slashing costs by up to 50% and dramatically reducing latency for repetitive tasks.
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What is Automatic Prompt Engineering?
Learn how automatic prompt engineering optimizes prompt creation for AI models, saving time and resources. Discover key techniques, tools, and benefits for Gen AI teams in this comprehensive guide.
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance - Summary
The paper discusses the cost associated with querying large language models (LLMs) and proposes FrugalGPT, a framework that uses LLM APIs to process natural language queries within a budget constraint. The framework uses prompt adaptation, LLM approximation, and LLM cascade to reduce the inference
Just Tell Me: Prompt Engineering in Business Process Management - Summary
The paper discusses the use of prompt engineering to leverage pre-trained language models for business process management (BPM) tasks. It identifies the potentials and challenges of prompt engineering for BPM research.