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.
Drishti Shah
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.
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 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.
Claude
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.
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
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.