LLMOps
Task-Based LLM Routing: Optimizing LLM Performance for the Right Job
Learn how task-based LLM routing improves performance, reduces costs, and scales your AI workloads
Drishti Shah
LLMOps
Canary Testing for LLM Apps
Learn how to safely deploy LLM updates using canary testing - a phased rollout approach that lets you monitor real-world performance with a small user group before full deployment.
AI ethics
Ethical considerations and bias mitigation in AI
Discover how to address ethical issues through better data practices, algorithm adjustments, and system-wide governance to build AI that works fairly for everyone.
AI FinOps
FinOps chargeback and how it can help GenAI platforms
Learn how FinOps chargeback helps AI teams control GenAI platform costs by linking expenses to specific teams.
prompting
Prompting Claude 3.5 vs 3.7
Claude models continue to evolve, and with the release of Claude 3.7 Sonnet, Anthropic has introduced several refinements over Claude 3.5 Sonnet. This comparison evaluates their differences across key aspects like accuracy, reasoning, creativity, and industry-specific applications to help users determine which model best fits their needs. 💡Prompt
MCP
Benefits of using MCP over traditional integration methods
​Discover how the Model Context Protocol (MCP) enhances AI integration by enabling real-time data access, reducing computational overhead, and improving security.
prompting
Basic AI Prompts for Developers: Practical Examples for Everyday Tasks
Ready-to-use prompts that developers can integrate into their daily workflows, tested using Portkey's Prompt Engineering Studio
prompting
Accelerating LLMs with Skeleton-of-Thought Prompting
A comprehensive guide to Skeleton-of-Thought (SoT), an innovative approach that accelerates LLM generation by up to 2.39× without model modifications. Learn how this parallel processing technique improves both speed and response quality through better content structuring.
MCP
How MCP(Model Context Protocol) handles context management in high-throughput scenarios
Discover how Model Context Protocol (MCP) solves context management challenges in high-throughput AI applications.
prompting
How to Optimize Token Efficiency When Prompting
Tokens are the building blocks of text that language models process, and they have a direct impact on both your costs and how quickly you get responses. Making your prompts token-efficient is more than cost-saving - it can lead to better results from the AI models you're working
prompting
AI Prompts for Product Marketers
Learn powerful AI prompting techniques for product marketers to create better messaging, content, and competitive analysis. Includes ready-to-use prompts.
prompting
AI Prompts for Sales Reps
Learn how to use AI prompts to streamline your sales process with these tested, ready-to-use examples. Discover how top sales reps are saving time and closing more deals by using AI for prospecting, objection handling, and follow-ups.