prompt engineering
Prompting Chatgpt vs Claude
Explore the key differences between Claude and ChatGPT, from their capabilities and use cases to their response speeds and unique features.
Latest
prompting
Prompt Security and Guardrails: How to Ensure Safe Outputs
Prompt security is an emerging and essential field within AI development making sure that AI-generated responses are safe, accurate, and aligned with the intended purpose. When prompts are not secured, the resulting outputs can unintentionally generate or amplify misinformation. Compliance risks are also a major concern. Enterprises deploying AI systems
Production Guides
LibreChat vs Open WebUI: Choose the Right ChatGPT UI for Your Organization
Looking to harness AI while keeping your data in-house? Dive into our comprehensive comparison of LibreChat and Open WebUI – two powerful open-source platforms that let you build secure ChatGPT-like systems.
observability
What is LLM Observability?
Discover the essentials of LLM observability, including metrics, event tracking, logs, and tracing. Learn how tools like Portkey can enhance performance monitoring, debugging, and optimization to keep your AI models running efficiently and effectively
prompt engineering
Using Prompt Chaining for Complex Tasks
Master prompt chaining to break down complex AI tasks into simple steps. Learn how to build reliable workflows that boost speed and cut errors in your language model applications.
Gen AI
FinOps practices to optimize GenAI costs and maximize efficiency
Learn how to apply FinOps principles to manage your organization's GenAI spending. Discover practical strategies for budget control, cost optimization, and building sustainable AI operations across teams. Essential reading for technology leaders implementing enterprise AI.
prompting
Evaluating Prompt Effectiveness: Key Metrics and Tools
Learn how to evaluate prompt effectiveness for AI models. Discover essential metrics and tools that help refine prompts, enhance accuracy, and improve user experience in your AI applications.`
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