Lifecycle of a Prompt
Learn how to master the prompt lifecycle for LLMs - from initial design to production monitoring. A practical guide for AI teams to build, test, and maintain effective prompts using Portkey's comprehensive toolset.
Topic
prompt engineering
A collection of 28 issues
Prompt engineering vs. fine-tuning: What’s better for your use case?
Discover the key differences between prompt engineering and model fine-tuning. Learn when to use each approach, how to measure effectiveness and the best tools for optimizing LLM performance.
Prompt engineering for low-resource languages
Dive into innovative prompt engineering strategies for multilingual NLP to improve language tasks across low-resource languages, making AI more accessible worldwide
What is tree of thought prompting?
Large language models (LLMs) keep getting better, and so do the ways we work with them. Tree of thought prompting is a new technique that helps LLMs solve complex problems. It works by breaking down the model's thinking into clear steps, similar to how humans work through difficult
Prompt engineering techniques for effective AI outputs
Remember when prompt engineering meant just asking ChatGPT to write your blog posts or answer a basic question? Those days are long gone. We're seeing companies hire dedicated prompt engineers now - it's become a real skill in getting large language models (LLMs) to do exactly
Prompting Chatgpt vs Claude
Explore the key differences between Claude and ChatGPT, from their capabilities and use cases to their response speeds and unique features.
Prompt Security and Guardrails: How to Ensure Safe Outputs
Prompt security is an emerging and essential field within AI development making sure that AI-generated responses are safe, accurate, and aligned with the intended purpose.
When prompts are not secured, the resulting outputs can unintentionally generate or amplify misinformation. Compliance risks are also a major concern. Enterprises deploying AI systems
Using Prompt Chaining for Complex Tasks
Master prompt chaining to break down complex AI tasks into simple steps. Learn how to build reliable workflows that boost speed and cut errors in your language model applications.
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.`
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.