Changelog
Stay up to date with the latest features, improvements, and bug fixes.
Added support for Mistral 7B and CodeLlama models
New distributed training with DeepSpeed integration
Enhanced monitoring dashboard with real-time metrics
50% faster LoRA fine-tuning performance
Fixed memory leak in long-running training jobs
Resolved authentication issues with Python SDK
Fixed dataset upload for large files (>1GB)
Improved error messages for failed deployments
Complete UI redesign with improved user experience
New JavaScript/TypeScript SDK
Multi-cloud deployment support (AWS, GCP, Azure)
Advanced security features and SOC 2 compliance
API v1 deprecated, please migrate to API v2
Added support for custom evaluation metrics
Reduced training startup time by 30%
Fixed issue with gradient accumulation in multi-GPU setups
QLoRA support for memory-efficient fine-tuning
New model comparison tools
Enhanced dataset validation and preprocessing
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