Question: How can I effectively monitor and iterate on my AI systems, is there a tool for that?

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Athina

If you want to monitor and improve your AI systems in the most effective way, Athina could be a good choice. This end-to-end platform for enterprise GenAI teams offers a full stack for experimentation, measurement, and optimization. It offers real-time monitoring, cost tracking, customizable alerts, and support for popular frameworks. Flexible pricing and powerful tools for LLM Observability, Experimentation, and Analytics means teams can systematically test new prompts, monitor output quality, and deploy with confidence.

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HoneyHive

Another good option is HoneyHive, a mission-critical AI evaluation, testing, and observability platform. HoneyHive offers a single LLMOps environment for collaboration, testing, and evaluating applications. It offers automated CI testing, production pipeline monitoring, dataset curation, prompt management, and distributed tracing. With support for 100+ models via popular GPU clouds and flexible pricing plans, HoneyHive is great for debugging, online evaluation, and user feedback.

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Humanloop

Humanloop is geared for managing and optimizing Large Language Models (LLMs). It helps with common issues like workflow inefficiencies and manual evaluation with a collaborative prompt management system, an evaluation and monitoring suite, and tools for connecting private data and fine-tuning models. It supports popular LLM providers and offers SDKs for easy integration, making it a good choice for product teams and developers who want to increase efficiency and AI reliability.

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LastMile AI

For a more complete solution, you might want to look at LastMile AI, a full-stack developer platform for generative AI applications. It offers features like Auto-Eval for automated hallucination detection, RAG Debugger for better performance, and AIConfig for version control and prompt optimization. With support for multiple AI models and a notebook-inspired environment for prototyping, LastMile AI lets engineers productionize generative AI applications with confidence.

Additional AI Projects

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Openlayer

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Keywords AI

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Braintrust

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Abacus.AI

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Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

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Align AI

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TeamAI

Collaborative AI workspaces unite teams with shared prompts, folders, and chat histories, streamlining workflows and amplifying productivity.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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AirOps

Create sophisticated LLM workflows combining custom data with 40+ AI models, scalable to thousands of jobs, with integrations and human oversight.

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Hebbia

Process millions of documents at once, with transparent and trustworthy AI results, to automate and accelerate document-based workflows.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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ThirdAI

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OctiAI

Craft more creative and precise prompts for image and text tasks with AI models, optimizing results and efficiency.

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Obviously AI

Automate data science tasks to build and deploy industry-leading predictive models in minutes, without coding, for classification, regression, and time series forecasting.

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Athena

Accelerate analytics workflows with an AI-native platform that learns your workflow, automates tasks, and enables collaborative data analysis with natural language interaction.

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TheB.AI

Access and combine multiple AI models, including large language and image models, through a single interface with web and API access.

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AIML API

Access over 100 AI models through a single API, with serverless inference, flat pricing, and fast response times, to accelerate machine learning project development.