LLM (Large Language Models)
ChatGPT vs DeepSeek vs Claude - which LLM Fits Your Needs?
With new AI models popping up almost daily see which LLMs fit best - ChatGPT vs DeepSeek vs Claude
Latest
Production Guides
Beyond Implementation: Why Audit Logs are Critical for Enterprise AI Governance
The race to implement Gen AI in enterprise environments has surfaced a critical challenge: As organizations scale their AI operations, maintaining visibility and control across the org becomes increasingly complex. Gone are the days when AI implementation was just about getting LLMs to work - today's enterprise AI
LLMOps
How to improve LLM performance
Learn practical strategies to optimize your LLM performance - from smart prompting and fine-tuning to caching and load balancing. Get real-world tips to reduce costs and latency while maintaining output quality
Tackling rate limiting for LLM apps
Learn how rate limits affect LLM applications, what challenges they pose, and practical strategies to maintain performance.
What is Knowledge Augmented Generation (KAG)?
Knowledge-Augmented Generation (KAG) is a framework that integrates the structured reasoning of knowledge graphs with the flexible language capabilities of LLMs.
Production Guides
LLMs in Prod 2025: Insights from 2 Trillion+ Tokens
Real-world analysis of 2Trillion+ production tokens across 90+ regions on Portkey's AI Gateway. Get the full LLMs in Prod'25 report today.
AI Agents
What are AI agents?
AI agents are software programs designed to sense their environment, make decisions, and take actions independently. They can operate and adapt in various settings - from physical spaces to digital environments. Unlike AI models that simply process inputs to generate outputs, agents continuously interact with their surroundings through an ongoing
Conversations
Jamming on Event-Driven Architecture and MCP for Multi-Agentic Systems
Insights from Portkey's AI Practitioners Meetup on building scalable multi-agent systems. Learn about Event-Driven Architecture patterns, Model Context Protocol implementation, and real-world experiences building multi-agents system.
ai guardrails
Reducing AI hallucinations with guardrails
Your chatbot just told a user that Einstein published his Theory of Relativity in 1920. Sounds plausible, right? Except it happened in 1915. This isn't a rare glitch - A recent study revealed 46% of users regularly catch their AI systems making up facts like these, even with
ai guardrails
What are AI guardrails?
Learn how to implement AI guardrails to protect your enterprise systems. Explore key safety measures, real-world applications, and practical steps for responsible AI deployment.
LLM Gateway
The real cost of building an LLM gateway
When your AI apps start to scale, managing multiple LLM integrations can get messy fast. That's when teams usually realize they need an LLM gateway. Many developers jump straight to building their own solution, often without seeing the full picture of what's involved. Drawing from what
observability
LLM observability vs monitoring
Your team just launched a customer service AI that handles thousands of support tickets daily. Everything seems fine until you start getting reports that the AI occasionally provides customers with outdated policy information. The dashboard shows the model is running smoothly - good latency, no errors, high uptime - yet