A user on Reddit is seeking advice on training a Qwen 3.5 model for multi-tool agent use. They are asking for guidance on whether to use supervised fine-tuning (SFT) followed by reinforcement learning (RL), or an RL-only approach. The user also inquired about effective reward function design for tool-use agents and strategies for handling parallel tool execution, specifically when a tool's output necessitates multiple subsequent tool calls. AI
IMPACT Discusses training methodologies for multi-tool agents, relevant for developers building specialized AI applications.
RANK_REASON User-generated discussion about training methods for a specific model.
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