Question: Is there a tool that can help reduce machine learning project failure rates and increase ROI?

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LastMile AI

LastMile AI is a full developer platform to help engineers productionize generative AI apps. It's got features like Auto-Eval to detect hallucinations automatically, RAG Debugger to optimize performance, and Consult AI Expert to get help. The service supports many AI models and comes with a notebook-like environment for prototyping and app building, and it's designed to let you easily deploy production apps.

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Humanloop

Another good option is Humanloop, a service to coordinate and optimize Large Language Model (LLM) development. It tackles problems like suboptimal workflows and manual evaluation with a collaborative playground and an evaluation and monitoring suite. Humanloop supports several LLM providers and offers software development kits for easy integration, so it's good for product teams and developers who want to work more efficiently and collaborate better.

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HoneyHive

For a more specialized service, check out HoneyHive, an AI evaluation and testing service. It's got one LLMOps environment for collaboration, testing and evaluation, with features like automated continuous integration testing, observability and prompt management. HoneyHive supports a broad range of models, and it's got a few pricing tiers, including a free developer plan, so it's good for solo developers and researchers.

Additional AI Projects

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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Vellum

Manage the full lifecycle of LLM-powered apps, from selecting prompts and models to deploying and iterating on them in production, with a suite of integrated tools.

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Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

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Deepchecks

Automates LLM app evaluation, identifying issues like hallucinations and bias, and provides in-depth monitoring and debugging to ensure high-quality applications.

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Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.

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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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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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PI.EXCHANGE

Build predictive machine learning models without coding, leveraging an end-to-end pipeline for data preparation, model development, and deployment in a collaborative environment.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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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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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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Flowise

Orchestrate LLM flows and AI agents through a graphical interface, linking to 100+ integrations, and build self-driving agents for rapid iteration and deployment.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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Manot

Automates 80% of the feedback loop, aggregating end-user feedback to identify and resolve model accuracy issues, improving product reliability and team productivity.

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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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Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.

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Braintrust

Unified platform for building, evaluating, and integrating AI, streamlining development with features like evaluations, logging, and proxy access to multiple models.

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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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Dayzero

Hyper-personalized enterprise AI applications automate workflows, increase productivity, and speed time to market with custom Large Language Models and secure deployment.

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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%.