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Changelog
Latest features, improvements, and updates to the Langtrain platform.
v2.4.0
Jan 2026
v2.4.0 (January 24, 2026)
New Features
- •Micro-HUDs: Global rollout with context-aware metrics and randomized positioning
- •Pipeline Visuals: Enhanced 'Beam' animation and sticky interactions
- •Refined UX: Improved CTA layouts and annotations
- •Fixed Pipeline HUD overlay issues
- •Resolved CTA annotation visibility and alignment
- •Mobile responsiveness improvements
v2.3.0 (December 31, 2024)
New Features
- •Agent Builder: Visual workflow builder for AI agents
- •DeepSeek V3 models (70B, 236B) now available
- •Phi-4 (14B) added to model hub
- •OpenAI-compatible inference endpoints
- •Streaming responses for chat completions
- •40% faster LoRA training on H100 GPUs
- •Improved documentation with better navigation
- •Enhanced model search and filtering
v2.2.0 (December 15, 2024)
New Features
- •100+ open-source models now available
- •New providers: DeepSeek, Qwen 2.5, Gemma 2
- •Dynamic model registry with real-time updates
- •Webhook notifications for training events
- •New
/v1/chat/completionsendpoint (OpenAI-compatible) - •Batch inference support with
/v1/chat/completions/batch
v2.1.0 (November 2024)
New Features
- •Llama 3.3 support (8B, 70B, 405B)
- •Distributed training with DeepSpeed ZeRO-3
- •Real-time training metrics dashboard
- •GGUF/ONNX model export
- •50% faster LoRA fine-tuning
- •Memory optimization for 70B+ models
- •Improved error messages and logging
v2.0.0 (October 2024)
Major Release
- •Complete platform redesign
- •New Python SDK (
pip install langtrain-ai) - •Multi-cloud deployment (AWS, GCP, Azure)
- •SOC 2 Type II compliance
- •Enterprise SSO support
- •API v1 deprecated—migrate to v2 endpoints
v1.9.0 (September 2024)
Features
- •QLoRA 4-bit training support
- •Custom evaluation metrics
- •Model comparison tools
- •Fixed memory leak in long training jobs
- •Resolved auth issues in Python SDK