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Building an active learning pipeline

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Accelerate your model training with Dataloop’s Active Learning Pipeline. A powerful no-code solution for iterative training of unstructured data at any scale. easy-to-set-up.

Dataloop’s Active Learning Pipeline uniquely integrates human expertise through the ‘human-in-the-loop’ – HITL approach, harmonizing automated efficiency with the nuanced judgment of human annotators. AI outputs results become more accurate and reliable.

The fastest path to
Active Learning

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Integrate feedback easily

Dataloop accelerates developing AI by providing an all-in-one platform that puts the human back in the loop.

  • Add human feedback steps directly in the pipeline.
  • Quickly iterate over large datasets with many annotators.
  • Dedicated human feedback tooling for annotators to excel at what they do.
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Use pre-built templates

Instantly install pre-built Active Learning pipelines out of the box and start creating, no need to manually connect every part.

  • Pick from hundreds of pre-built pipelines in our Marketplace.
  • Run advanced Active Learning pipelines without setting up complex integrations.
  • Easily customize pipelines to your needs with our drag-and-drop pipeline builder or with code.
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Collaborate across every step

Dataloop brings Data Scientists, ML Engineers, Data Engineers and annotators together in one place, allowing for quicker feedback cycles.

  • Communication features allowing multiple teams to work on one workflow together.
  • Combine human feedback and machine in a single workflow to accelerate improving model quality.
  • Audit every step to see who made what changes to ensure compliance and spend less time resolving issues.
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Build on a solid foundation

Develop AI applications at the speed of market demand

 

Build anything with Dataloop

These are just some of the workflows our users build using the platform

Building a GenAI stack

Create single- or multi-modal AI applications, work with hundreds of datasets, chose any model you need to and replace them at will – all on the only truly-complete platform for GenAI development.

Validating GenAI with RLHF/RLAIF

Use pre-built Reinforcement Learning workflows with human and AI feedback nodes. Facilitate RLHF for GenAI at scale by allowing human feedback to be an inherent part of your operations, without the overhead.

Multi-cloud Compute

Chain multiple cloud compute nodes together in a single pipeline. Use different types of compute and different compute vendors, including all major clouds, on-premise, NVIDIA’s DGX or Dataloop’s own compute offering.

Bulding RAG workflows

Build Retrivial-Augmented-Anything workflows with Dataloop, combining models, data, compute and pipelines in one location – instead of scattered across multiple providers and platforms.

FAQ

Dataloop is an AI development platform designed to empower data practitioners to collaborate and build exceptional AI solutions. It comes pre-packed with models, functions, datasets, and integrations with popular cloud platforms, ensuring you can hit the ground running when developing your AI applications.

Dataloop is an all-in-one solution, eliminating the need for multiple tools or cloud services to deliver complete, robust AI applications. Furthermore, Dataloop prioritizes RLHF, Active Learning, and other human-in-the-loop workflows, offering dedicated, state-of-the-art annotation studios for human reviewers to excel.

Dataloop offers a large Marketplace of models, datasets, pre-built workflow templates and more, and is highly-integrated with a variety of cloud platforms, data tools and more.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Engineers.

Dataloop helps automate processes crucial to AI development, such as model training, human feedback (for RLHF and Active Learning) and more, and lets you focus on training your models instead of platform setup and configuration.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Scientist.

In Dataloop, every piece of the pipeline can be created, modified and deleted using an API call, and our robust Python SDK allows for complete code-level control on the data pipelines you rely on to build your AI applications.

Read more about why Dataloop is a great choice for you in our dedicated page for Software Engineers.

Dataloop allow teams to focus on building AI applications, and not platform maintenance – while still allowing for complicated, human-in-the-loop flows and without compromising on quality or the speed of delivery.

Read more about why Dataloop is a great choice for you in our dedicated page for Data & AI Leaders.

To get started with Dataloop, you can talk to one of our AI experts.

At Dataloop, privacy and security are our top priorities. We adhere to leading industry standards and are dedicated to ensuring the security of your data with comprehensive governance throughout the entire platform. More specifically, Dataloop is compliant with SOC 2 Type II, GDPR, ISO 27001 and ISO 27701, and offers RBAC, 2-factor authentication, AES-256 encryption and ongoing tracking of all system resources and actions that occur within the platform.

You can read more about our security controls in our dedicated security resource.