Baseplate Alternatives

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.
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Predibase

If you're looking for a Baseplate alternative, Predibase is another top contender. It lets developers train, tune and serve large language models and supports classification, information extraction and code generation tasks. It comes with a managed serving infrastructure and enterprise-grade security, and is well suited for running AI workloads.

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LlamaIndex

Another top contender is LlamaIndex, which makes it easier to integrate your own data sources into large language models for production use. It supports more than 160 data sources and a variety of data formats, so it's good for plugging data into LLMs. With a lot of community support and a flexible pricing model, LlamaIndex is good for jobs like financial services analysis and advanced document intelligence.

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Abacus.AI

If you want a more complete solution, check out Abacus.AI. It's a platform that lets developers create and run AI agents and systems at scale, using generative AI methods. It's got a variety of products, including ChatLLM for building RAG systems and AI Agents for automating tasks, so it's a good option if you want to build more sophisticated AI systems.

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Freeplay

Last, Freeplay is a lifecycle management tool for large language model product development. It automates experimentation, testing and optimization with features like prompt management and automated batch testing. Freeplay is good for enterprise teams that want to speed up development velocity and cut costs.

More Alternatives to Baseplate

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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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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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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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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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LLMStack

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

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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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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Graphlit

Extracts insights from unstructured data like documents, audio, and images using Large Multimodal Models, automating content workflows and enriching data with third-party APIs.

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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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Novita AI

Access a suite of AI APIs for image, video, audio, and Large Language Model use cases, with model hosting and training options for diverse projects.

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Pinecone

Scalable, serverless vector database for fast and accurate search and retrieval of similar matches across billions of items in milliseconds.

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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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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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Glean

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

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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.

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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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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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Langbase

Accelerate AI development with a fast inference engine, deploying hyper-personalized models quickly and efficiently, ideal for streamlined and trusted applications.

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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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Vectorize

Convert unstructured data into optimized vector search indexes for fast and accurate retrieval augmented generation (RAG) pipelines.