Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads…
Part of AI Research Skills (Orchestra)Pack · 98 skills
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Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.
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Has your agent write a tight, ready-to-paste prompt for the AI tool you name, from Claude Code and Cursor to Midjourney and Sora.
Turns a task into a copy-ready /goal command for Claude Code or Codex, with a checkable finish line and a stop bound.
The .NET team's skill for picking the right AI or ML stack in .NET 8+ apps, from ML.NET to Microsoft.Extensions.AI and Agent Framework.
Turn a repeated workflow, prompt set or SOP into a tested, packaged agent skill, or audit and improve a skill you already have.
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