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UCSC-VLAA
VLAA-Thinker是一個創新的視覺語言模型，能夠同時處理圖像和文本輸入，並生成高質量的文本輸出。該模型基於論文《SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models》的研究成果開發，專注於類似R1的推理能力。
這是一個通過Model Context Protocol（MCP）將TrainingPeaks訓練數據平臺連接到Claude等AI助手的服務器。它允許用戶通過自然語言查詢訓練數據、分析訓練負荷、比較功率數據並跟蹤體能趨勢，無需等待官方API審批，使用安全的Cookie認證。
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