Portkey Blog (Page 14)

AI Agents

How to Build Multi-Agent AI Systems with OpenAI Swarm & Secure Them Using Portkey

Learn how to build multi-agent AI systems using OpenAI Swarm, an educational framework designed for managing collaborative AI agents with Portkey.

integration

Elevate Your ToolJet Experience with Portkey AI

Integrate Portkey with ToolJet to unlock observability, caching, API management, and routing, optimizing app performance, scalability, and reliability.

Chain of Thought

Chain-of-Thought (CoT) Capabilities in O1-mini and O1-preview

Explore O1 Mini & O1 Preview models with Chain-of-Thought (CoT) reasoning, balancing cost-efficiency and deep problem-solving for complex tasks.

Few-shot prompting

Zero-Shot vs. Few-Shot Prompting: Choosing the Right Approach for Your AI Model

Explore the differences between zero-shot and few-shot prompting to optimize your AI model's performance. Learn when to use each technique for efficiency, accuracy, and cost-effectiveness.

prompt engineering

The Complete Guide to Prompt Engineering

What is Prompt Engineering? At its core, prompt engineering is about designing, refining, and optimizing the prompts that guide generative AI models. When working with large language models (LLMs), the way a prompt is written can significantly affect the output. Prompt engineering ensures that you create prompts that consistently generate

Fine-tuning

OpenAI - Fine-tune GPT-4o with images and text

OpenAI’s latest update marks a significant leap in AI capabilities by introducing vision to the fine-tuning API. This update enables developers to fine-tune models that can process and understand visual and textual data, opening up new possibilities for multimodal applications. With AI models now able to "see"

OpenAI

OpenAI’s Prompt Caching: A Deep Dive

This update is welcome news for developers who have been grappling with the challenges of managing API costs and response times. OpenAI's Prompt Caching introduces a mechanism to reuse recently seen input tokens, potentially slashing costs by up to 50% and dramatically reducing latency for repetitive tasks. In

observability

⭐ The Developer’s Guide to OpenTelemetry: A Real-Time Journey into Observability

In today’s fast-paced environment, managing a distributed microservices architecture requires constant vigilance to ensure systems perform reliably at scale. As your application handles thousands of requests every second, problems are bound to arise, with one slow service potentially creating a domino effect across your infrastructure. Finding the root cause

prompt engineering

What is Automatic Prompt Engineering?

Learn how automatic prompt engineering optimizes prompt creation for AI models, saving time and resources. Discover key techniques, tools, and benefits for Gen AI teams in this comprehensive guide.

Portkey is Joining Hacktoberfest

Empowering AI Innovation Through Open Source

Production Guides

7 Ways to Make Your Vercel AI SDK App Production-Ready

Learn how to make your Vercel AI SDK app production-ready with Portkey. Step-by-step guide covers 5 key techniques: implementing guardrails, conditional routing, interoperability, reliability features, and observability.