Files
claude-code/teach-me/learner-profile.md
claude-code-best 047c85fcbf fix: 修复 DeepSeek V4 reasoning_content 回传导致的 400 错误
- 扩大模型名称检测范围,匹配所有 deepseek 模型(V4、R1 等)
- 始终保留 thinking blocks 为 reasoning_content 回传给 API
- 移除有 bug 的 turn boundary 剥离逻辑

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-24 20:33:43 +08:00

555 B

Learner Profile

Updated: 2026-04-24

Style

  • Learns best with: Analogies (Memory page <-> Capsule hotel), Concrete trade-offs (Latency vs Throughput)
  • Strength: Strong logical intuition regarding memory constraints.
  • Pace: Fast. Grasped PagedAttention/TP concepts quickly from first principles.

Patterns

  • Tends to focus on memory usage ("is it OOM?"), which is a good instinct for inference tuning.
  • Needs precision on API flags (e.g., --tensor-parallel-size).

Topics

  • vLLM Inference Optimization (10/10 concepts mastered, 2026-04-24)