Experimental features, cutting-edge research, and next-gen AI tools. Test new capabilities before they hit mainnet.
Train models that understand text, images, audio, and video simultaneously across the network.
goka lab train --multimodal \
--text ./data/text \
--images ./data/images \
--audio ./data/audioPrivacy-preserving distributed training without sharing raw data between nodes.
goka lab federated \
--participants 100 \
--rounds 50 \
--privacy-budget 1.0Quantization and pruning for edge deployment with minimal accuracy loss.
goka lab compress \
--model ./model.onnx \
--target-size 100MB \
--precision int8Automated model architecture search and hyperparameter tuning on GOKA compute.
goka lab automl \
--task classification \
--dataset ./data \
--budget 24hTransfer knowledge from large models to smaller, efficient student models.
goka lab distill \
--teacher gpt-4-turbo \
--student goka-mini \
--dataset ./train.jsonlReinforcement Learning from Human Feedback for model alignment.
goka lab rlhf \
--base-model ./model \
--reward-model ./reward \
--ppo-epochs 10▓ ▓▓ ▓▓▓ ▓▓ ▓ GOKA LAB STATUS
Active experiments: 6
Research features: 2
Alpha features: 2
Beta features: 1
Experimental: 1
Network: mainnet-beta
Build: v0.8.3-goka-lab
# All systems nominal. Compute ready.