Benefits of using MCP over traditional integration methods
Discover how the Model Context Protocol (MCP) enhances AI integration by enabling real-time data access, reducing computational overhead, and improving security.
Drishti Shah
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
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 with.
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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.