Agents for Visualization

• Train your own R1 reasoning model with Unsloth: By unsloth.ai, this magically reduces VRAM requirement for post-train a model into a reasoning model from 160GB to 7-40GB. This is very helpful for turning a model with domain-specific datasets, e.g., quantum computing and/or visualization