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.`
Drishti Shah
How to Build Multi-Agent AI Systems with OpenAI Swarm & Secure Them Using Portkey
Learn how to build multi-agent AI systems using OpenAI Swarm, an educational framework designed for managing collaborative AI agents with Portkey.
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
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.