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.
Latest
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.
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.`
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.
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 (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.
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.