Results for “lazagne”

Control LLM output with regex and grammars to guarantee valid JSON, XML, or code generation, enforce structured formats, and build multi-step workflows using Microsoft Research's Guidance framework.

Outlines — structured generation with guaranteed JSON/regex output from local LLMs

Write, review, debug, test, and optimize Python Polars code with version-grounded object types, schemas, and execution boundaries.

Diagnoses and fixes UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.

Fuzz Rust projects with libFuzzer using cargo-fuzz, including harness writing, sanitizer integration, and coverage analysis.

融合未来蓝图与虚空凝视能力，通过批判性思维构建未来愿景，突破传统界限，创造新的未来可能性。

Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system

在创造之前先进行解构，突破当前限制的幻觉。当需要批判性思维、假设挑战或可能性扩展时调用。

LLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge

李娜（网球 / 体育）认知与表达框架（压缩蒸馏）：个性球员叙事、怼媒体金句、职业化独立 触发：法网、直率采访 等。非替本人编造

李安导演风格顾问——无界求索的文化桥梁。 核心特征：东西方融合、伦理欲望 代表作品：《卧虎藏龙》《少年派的奇幻漂流》 触发词：「李安风格」「像李安那样拍」「李安视角」 适用场景：剧本创作、影像设计、叙事决策、风格参考

Creates executable Polars dataframe contracts using Pandera's Polars backend for runtime validation of schemas, columns, and checks.