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Bagel Labs
Bagel Labs is an artificial-intelligence research lab developing distributed training methods for frontier diffusion models on commodity hardware. Its work focuses on generative models for robotics, video, and world modelling.
Distributed
Description
Bagel Labs develops Distributed Diffusion Models (DDMs), which use independently trained smaller expert models and a lightweight router rather than a single tightly coupled diffusion model. The organization has publicly released Paris, a DDM, and describes Paris-2 as a video DDM pretrained from scratch.Grant Funding
VC Funding
None
2024
$0
$6.2M
Technology & Skills
MACHINE LEARNING
REINFORCEMENT LEARNING
REPRESENTATION LEARNING
GTM
DATA PIPELINE
FAILURE ANALYSIS
AUTONOMY
ACCOUNT MAPPING
SIMULATION
MODEL PIPELINE
EXPERIMENT DESIGN
MACHINE LEARNING FRAMEWORK
ROBOTICS
BASELINE
VIDEO GENERATION
GPU
SCORE MODEL
CLOUD
BUSINESS DEVELOPMENT
EXPERIMENT INFRASTRUCTURE
SALES
FLOW
QUALIFICATION
TECHNICAL WRITING
IMITATION LEARNING
TECHNICAL EVALUATION
EVALUATION
AI INFRASTRUCTURE
METRIC
REPRODUCIBILITY
CHECKPOINTING
PYTHON
DISTRIBUTED TRAINING
OBSERVABILITY
PIPELINE
DEBUGGING
WORLD MODEL
DIFFUSION
MULTIMODAL GENERATION
LOGGING
METRICS