Airtrain AI Alternatives

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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Humanloop

If you're looking for something besides Airtrain AI, Humanloop is another strong contender. The service is designed to oversee and optimize the development of Large Language Models (LLMs) applications. It offers a collaborative sandbox with version control and history, an evaluation and monitoring tool for debugging performance, and tools to fine-tune models with private data. Humanloop integrates with common LLM providers and offers Python and TypeScript software development kits for integration. It's geared for product teams, developers and anyone building AI features.

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Klu

Another service worth a look is Klu, which lets you build, deploy and optimize generative AI applications. It supports a variety of LLMs, including GPT-4 and Llama 2, and offers features like fast iteration, built-in analytics and support for custom models. Klu has a few pricing tiers, including a scalable option for large teams, so it's a good option for AI engineers and teams trying to improve their workflow.

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Dify

For an open-source option, Dify offers a foundation for building and running generative AI applications. It includes a visual Orchestration Studio for designing AI apps and tools for secure data pipelines, prompt design and model tuning. Dify also offers customizable LLM agents and the ability to quickly deploy chatbots and AI assistants, so it's a good option for businesses and individuals who want to add AI securely and efficiently.

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Predibase

Last, Predibase is a low-cost way to fine-tune and serve LLMs for specific tasks. It supports a variety of models and offers a low-cost serving infrastructure with free serverless inference for up to 1 million tokens per day. Predibase also offers enterprise-grade security with SOC-2 compliance, so it's a good option for companies that need to deploy AI quickly and securely.

More Alternatives to Airtrain AI

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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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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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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MindStudio

Create custom AI applications and automations without coding, combining models from various sources to boost productivity and efficiency.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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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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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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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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Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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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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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.

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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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Cubeo AI

Create and train AI Agents without coding, automating repetitive tasks in various areas, with an intuitive interface for customization and integration.

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PlugBear

Seamlessly integrate Large Language Models into workflow tools like Slack and Teams, automating mundane tasks and freeing teams to focus on high-leverage work.

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

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Prem

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.