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Drishti Shah

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.

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

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

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.

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

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

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.