MCP
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.
Latest
prompting
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
prompting
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.
prompting
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.
Production Guides
Launching Prompt Engineering Studio
Bridging the Chasm: How Portkey's Prompt Engineering Studio Takes AI from Experiment to Production
Portkey on the AWS Marketplace
Portkey is now available on the AWS Marketplace, simplifying procurement for Enterprise customers. With the growing demand for reliable, secure, and compliant AI solutions, we are making it easier than ever for large development teams to deploy Portkey into their organization. We're happy to share that Portkey is
prompting
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.
prompting
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
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.
Production Guides
OpenAI's New Agent Tools: Navigating Strategic Implications for Enterprise AI
OpenAI just redefined how enterprises build AI agents—with new Responses APIs, built-in tool integrations, and building blocks for agents. For enterprises invested in AI, these launches bring exciting capabilities and strategic dilemmas: How should enterprises adapt without becoming overly dependent on OpenAI? What does this mean for enterprises invested
prompt engineering
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.
MCP
Model Context Protocol (MCP): Everything You Need to Know to Get Started
Learn how Model Context Protocol (MCP) revolutionizes AI integration, eliminating custom code and enabling standardized communication between LLMs and external systems. [Complete Guide with Examples]