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Rapid-MLX 0.11.0 brings major performance gains with prefix-cache and response caching, supports new model families including HY3 295B MoE and Qwen3-Coder-Next 80B, introduces structured output with guaranteed valid tool calls, and adds seamless integration with MCP servers for autonomous agent workflows.
Tencent tech expert releases a 37-minute AI programming tutorial, teaching zero-basis users to develop a local errand mini-program and APP, while also introducing the Rapid-MLX tool, claiming it is 2-4 times faster than Ollama on Apple Silicon.