Basic AI Prompts for Developers: Practical Examples for Everyday Tasks
Ready-to-use prompts that developers can integrate into their daily workflows, tested using Portkey's Prompt Engineering Studio
Drishti Shah
Accelerating LLMs with Skeleton-of-Thought Prompting
A comprehensive guide to Skeleton-of-Thought (SoT), an innovative approach that accelerates LLM generation by up to 2.39× without model modifications. Learn how this parallel processing technique improves both speed and response quality through better content structuring.
How MCP(Model Context Protocol) handles context management in high-throughput scenarios
Discover how Model Context Protocol (MCP) solves context management challenges in high-throughput AI applications.
How to Optimize Token Efficiency When Prompting
Tokens are the building blocks of text that language models process, and they have a direct impact on both your costs and how quickly you get responses. Making your prompts token-efficient is more than cost-saving - it can lead to better results from the AI models you're working
AI Prompts for Product Marketers
Learn powerful AI prompting techniques for product marketers to create better messaging, content, and competitive analysis. Includes ready-to-use prompts.
AI Prompts for Sales Reps
Learn how to use AI prompts to streamline your sales process with these tested, ready-to-use examples. Discover how top sales reps are saving time and closing more deals by using AI for prospecting, objection handling, and follow-ups.
AI Prompts for Social Media Marketers
Learn how to use AI prompts for social media marketing without losing your brand's authentic voice. Discover tested templates that save time while keeping your content creative and engaging.
Meta prompting: Enhancing LLM Performance
Learn how meta prompting enhances LLM performance by enabling self-referential prompt optimization. Discover its benefits, use cases, challenges, and how Portkey’s Engineering Studio helps streamline prompt creation for better AI outputs
Prompt Engineering for Stable Diffusion
Learn how to craft effective prompts for Stable Diffusion using prompt structuring, weighting, negative prompts, and more to generate high-quality AI images.
Understanding prompt engineering parameters
Learn how to optimize LLM outputs through strategic parameter settings. This practical guide explains temperature, top-p, max tokens, and other key parameters with real examples to help AI developers get precisely the responses they need for different use cases.