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Build LLM projects quickly
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Accelerate ML model development,
at scale
The potential of machine learning technologies is creating a cross-industry race to develop and deploy quickly. Give your team the best tools to experiment and deliver better performing models faster to fuel business growth.
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Trusted by 30,000+ ML practitioners and teams
Let your team focus on
the science
Enable them to manage ML projects the right way
Best practices for ML efficiency
Git like workflow for the whole project
All ML life cycle components (data, code, experiments, annotations) in one place
Easy Collaboration
Increase ML teams flexibility by reducing their reliance on DevOps
Explainability & Reproducibility of production models
Data & model lineage
Automated data, code and model versioning to guarantee accurate reproducibility
Data visibility for explainability, debugging and ethical AI
Accelerate experimentation cycles
Active learning pipelines out of the box
Query & filter inference data to generate training-ready datasets
Data management for fine-tuning of generative AI models
Auto labeling
Seamless ML Stack integration
Connect to any cloud provider storage
Integrate with orchestration, monitoring and compute tools & resources that you already use
Two way sync with your existing code repositories
Governance & security
On prem/VPC installations
User access controls
Separated project instances
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