Machine learning

Search traceable academic papers, download legally accessible PDFs from arXiv and open-access sources, convert PDFs or page images to Markdown with a…

用 Playwright 从深知晓、深知晓（深度溯源）、豆包、腾讯元宝、DeepSeek 和通义千问网页端无损采集完整回答、原始引用、引用标记和现场存证。用于 Fact-Check-X 的原始答案采集阶段，或任何需要比较多个 AI 网页回答与参考来源的任务。

First-principles ML: classical methods, optimization, Gaussian processes, deep learning, probabilistic inference, generative models, RL.

Use when the user wants to test, compare, or choose local Ollama models for their machine.

Guide for building search on turbopuffer, the object-storage-native vector and full-text search engine.

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".

Share brain pages as beautiful password-protected HTML with zero LLM calls

Use when building AI workflows, tool calling agents, structured outputs, or LLM pipelines using the Genkit Dart SDK.

Generate system prompts from user requirements, with application guidance and request-derived evaluation materials.

Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE…

Builds, integrates, migrates, audits Stream Chat, Video, and Feeds in React Native CLI and Expo apps.

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents.

Use when a task gives a covariate table plus, for each of many simulated observational datasets, a binary treatment vector and an outcome vector, and asks for…

Push the LLM to reconsider, refine, and improve its recent output.

Benchmark stellar-build skills to measure quality and the lift from optimization.

Tend the membrane memory corpus — an OKF concept store whose fragment evolution lives in the git log as lineage trailers.

Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots…

Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers.

Context management engine for AI coding agents.

Data science across machine learning, statistical modeling, and experimentation.

MLOps across model deployment, ML pipelines, monitoring, and feature stores.

Design RAG pipelines: chunking, retrieval evaluation, and architecture.

Computer vision engineering for object detection, segmentation, and visual AI, covering CNN and Vision Transformer architectures and ONNX/TensorRT deployment.

Prompt engineering and LLM evaluation.