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.
Drishti Shah
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.
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.
prompt engineering
COSTAR Prompt Engineering: What It Is and Why It Matters
Discover how Costar prompt engineering brings structure and efficiency to AI development. Learn this systematic approach to creating better prompts that improve accuracy, reduce hallucinations, and lower costs across different language models.
prompting
Mastering role prompting: How to get the best responses from LLMs
Learn how to get better AI responses through role prompting. This guide shows developers how to make LLMs respond from specific expert perspectives with practical examples and best practices.
prompt engineering
Delimiters in Prompt Engineering
Learn how to use delimiters in prompt engineering to improve AI responses. This blog explains delimiter types, best practices, and practical examples for developers working with large language models
LLMOps
LLM Grounding: How to Keep AI Outputs Accurate and Reliable
Learn how to build reliable AI systems through LLM grounding. This technical guide covers implementation methods, real-world challenges, and practical solutions
prompt engineering
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.
multi-agent systems
Challenges Agentic AI Companies Face in Enterprise Adoption
In this blog, we'll walk through the key hurdles teams face when bringing Agentic AI into enterprise environments
LLM
What is LLM Orchestration?
Learn how LLM orchestration manages model interactions, cuts costs, and boosts reliability in AI applications. A practical guide to managing language models with Portkey
ai guardrails
Types of AI Guardrails and When to Use Them
A technical guide to implementing AI guardrails - covering input validation, output filtering, knowledge management, rate limiting, and compliance controls for production AI systems. Learn implementation patterns for safe, reliable AI deployment.