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.
Drishti Shah
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.
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.
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 with.
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