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Maxim is an end-to-end AI evaluation and observability platform for testing and deploying AI applications.
To use Maxim, sign up for a free trial, then integrate the platform into your AI workflows for testing and deployment.
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In this video, we walk you through how to use Prompt Comparison feature to compare different AI model responses and analyze crucial metrics like token count, cost, and latency. We use a real-world customer support example to demonstrate how this tool can help you find the most effective prompts and improve your AI workflows. Learn how to optimize your projects and save time with Maxim AI. Discover the power of Maxim AI's Prompt Comparison! Link to get started - evals.new Sign up on Maxim AI today - https://getmaxim.ai #artificialintelligence #machinelearning #promptcomparison #promptengineering #prompts #agents #evaluation #ai
Understanding how AI agents manage and exchange context is crucial for building advanced AI systems. This video overviews the Model Context Protocol (MCP) architecture. Discover how MCP facilitates seamless communication between AI models, ensuring they have the correct information at the right time. We'll cover the fundamental layers and processes that make MCP a game-changer for AI development. Whether you're a developer, researcher, or AI enthusiast, this video will give you valuable insights into this essential protocol. Head to https://www.getmaxim.ai knowing more about evaluating and observing your agents. #AI #AgentAI #MCPProtocol #AIArchitecture #DeepLearning #ContextManagement #AITechnology #Innovation #AIExplained #FutureOfAI
In this demo, we walk through how to seamlessly integrate DSPy metrics evaluation into the Maxim Platform using the Maxim SDK. Learn how to supercharge your LLM workflows with robust evaluation tools and proactive alerting. 🔍 What you’ll see: How to plug in DSPy with Maxim using the SDK Using first-party evaluators for quality scoring Leveraging hosted datasets for reliable benchmarking Setting up the alerting system to monitor regressions and anomalies This is perfect for teams building with LLMs who want real-time insights, automated evaluation, and scalable QA. 📚 Resources: SDK Docs: https://www.getmaxim.ai/docs/sdk/overview Maxim Platform: https://www.getmaxim.ai DSPy Overview: https://github.com/stanfordnlp/dspy 👍 Don’t forget to like, comment, and subscribe for more AI/LLM tooling demos! #DSPy #MaximPlatform #LLMEvaluation #LLMOps #GenAI #PromptEngineering #SDKDemo #AIQuality
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How to compare your Prompts? | Prompt Comparison on Maxim AI
In this video, we walk you through how to use Prompt Comparison feature to compare different AI model responses and analyze crucial metrics like token count, cost, and latency. We use a real-world customer support example to demonstrate how this tool can help you find the most effective prompts and improve your AI workflows. Learn how to optimize your projects and save time with Maxim AI. Discover the power of Maxim AI's Prompt Comparison! Link to get started - evals.new Sign up on Maxim AI today - https://getmaxim.ai #artificialintelligence #machinelearning #promptcomparison #promptengineering #prompts #agents #evaluation #ai
Understanding Model Context Protocol (MCP)
Understanding how AI agents manage and exchange context is crucial for building advanced AI systems. This video overviews the Model Context Protocol (MCP) architecture. Discover how MCP facilitates seamless communication between AI models, ensuring they have the correct information at the right time. We'll cover the fundamental layers and processes that make MCP a game-changer for AI development. Whether you're a developer, researcher, or AI enthusiast, this video will give you valuable insights into this essential protocol. Head to https://www.getmaxim.ai knowing more about evaluating and observing your agents. #AI #AgentAI #MCPProtocol #AIArchitecture #DeepLearning #ContextManagement #AITechnology #Innovation #AIExplained #FutureOfAI
Adding DSPy Metrics Evaluation to Maxim Platform
In this demo, we walk through how to seamlessly integrate DSPy metrics evaluation into the Maxim Platform using the Maxim SDK. Learn how to supercharge your LLM workflows with robust evaluation tools and proactive alerting. 🔍 What you’ll see: How to plug in DSPy with Maxim using the SDK Using first-party evaluators for quality scoring Leveraging hosted datasets for reliable benchmarking Setting up the alerting system to monitor regressions and anomalies This is perfect for teams building with LLMs who want real-time insights, automated evaluation, and scalable QA. 📚 Resources: SDK Docs: https://www.getmaxim.ai/docs/sdk/overview Maxim Platform: https://www.getmaxim.ai DSPy Overview: https://github.com/stanfordnlp/dspy 👍 Don’t forget to like, comment, and subscribe for more AI/LLM tooling demos! #DSPy #MaximPlatform #LLMEvaluation #LLMOps #GenAI #PromptEngineering #SDKDemo #AIQuality