Model Training Platforms

33 products

Multilingual AI
LILT
·Model Training Platforms+2
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Train
LILT
·Model Training Platforms+2
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Model Evaluation
LILT
·LLM Evaluation Platforms+2
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Human Intelligence Layer
LILT
·Model Training Platforms+2
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Benchmark
LILT
·LLM Evaluation Platforms+2
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Alignerr
Labelbox
·Model Training Platforms+2
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Recursion
Labelbox
·Model Training Platforms+2
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Terra
Labelbox
·Model Training Platforms+2
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Horizon
Labelbox
·Model Training Platforms+2
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Domino Enterprise AI Platform
Domino Data Lab
·Model Deployment Platforms+2
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ALFRED AI
WhiteLab Genomics
·Model Training Platforms+2
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SUNK
CoreWeave
·Model Training Platforms+2
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Bare Metal Servers
CoreWeave
·GPU Cloud Platforms+2
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NVIDIA Hopper
CoreWeave
·GPU Cloud Platforms+2
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NVIDIA Blackwell
CoreWeave
·GPU Cloud Platforms+2
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NVIDIA Vera Rubin
CoreWeave
·GPU Cloud Platforms+2
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GPU Compute
CoreWeave
·GPU Cloud Platforms+2
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Varnish AI Accelerator
Varnish Software
·Inference Acceleration+2
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Visionairy Software
Visionairy
·Model Deployment Platforms+2
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BIOVIA
Dassault Systèmes
·Data Analysis Agents+2
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NVIDIA AI Enterprise
NVIDIA
·Model Deployment Platforms+2
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NVIDIA NGC
NVIDIA
·Model Deployment Platforms+2
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NVIDIA RTX PRO
NVIDIA
·Inference Acceleration+2
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NVIDIA HGX Platform
NVIDIA
·Inference Acceleration+2
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NVIDIA DGX Platform
NVIDIA
·Model Deployment Platforms+2
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SAP AI Platform
SAP
·Model Deployment Platforms+2
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Hugging Face PRO
Hugging Face
·Model Deployment Platforms+2
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Spaces
Hugging Face
·Model Deployment Platforms+2
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Transformers
Hugging Face
·Model API Platforms+3
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Dataiku
Dataiku
·Model Deployment Platforms+2
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Compute
Mistral
·AI Compute Orchestration+3
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Forge
Mistral
·Model Training Platforms+2
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Studio
Mistral
·Model Training Platforms+3
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Model Training PlatformsMainModel Deployment PlatformsInference APIs

Multilingual AI focuses on model development for multilingual applications, supporting diverse language needs.

Features

  • Train AI models with multilingual data
  • Evaluate model performance across languages
  • Integrate content systems with APIs
  • Ensure translation accuracy with human validation
  • Develop benchmarks for model robustness
  • Curate and manage specialized datasets
  • Conduct human evaluation and reinforcement learning
  • Collect and evaluate speech and audio data