Machine learning

Design discipline-specific critical thinking tasks grounded in knowledge-contingent reasoning rather than generic skills.

Slow down interpretation from observation to action.

Design a structured outdoor learning sequence embedding curriculum objectives in an available outdoor space.

Guide for selecting the most appropriate foundation MLIP model based on simulation requirements.

Automate hyperparameter tuning for MLIPs (MACE, MatGL, FairChem) using an LLM-driven search framework.

Turn a decision the user can't answer alone into a Markdown questionnaire for a specific person (PM / designer / coworker) to fill in async.

Build a persistent compounding wiki from raw sources using the LLM Wiki pattern

Test vector stores for embedding inversion, cross-tenant leakage, and poisoning.

Deploy Llama Guard, NeMo Guardrails, and LLM Guard input/output scanners as runtime defenses.

Identify poisoned training data and backdoored models across the ML pipeline.

De-identify clinical text for drafts, notes, and manuscript excerpts using phi-cleaner before sharing with external tools or collaborators.

Evaluate Anvia agents and retrieval — deterministic metrics, semantic similarity, LLM judges, RAG quality, and CLI eval runs.

Use when working on Cosmos world model serving, inference, serverless training smoke validation, backend selection, or rendering limitations.

Use when recommending how to run a workbench workload, writing user-facing docs, or answering "what should I run first?" — lead with the Nebius GPU path and…

Use when choosing or reviewing GPU targets for NPA workbench tools, training, rendering, inference, or workflow YAML resources.

Perform finance web searches and local context searches.

Analyze finance text sentiment using FinBERT or LLM.

Design tenant-scoped memory, retrieval and retention for agents.

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems.

Vovk.ts JSON Lines streaming — generator handlers (`function*`, `async function*`), the `iteration` validation option, `validateEachIteration`, the…

Building LLM tools with Vovk.ts — `deriveTools()` (procedures → tools) returning a `StandardToolV0[]` array, standalone tools via the `standard-tool` package…

Build retrieval and RAG with Anvia — chunking, embeddings, vector stores, knowledge graphs, filters, and search tools.

Check whether the stated problem is the right problem before work commits to it.

阿里云百炼平台技术文档知识库（LLM Wiki）。当用户查询百炼模型列表、API 参数、错误码、 应用开发（智能体/RAG/知识库/记忆/插件）、模型对比与定价、SDK/OpenAI 兼容接口、 多模态能力（语音/图片/视频）、Token 计费等百炼相关问题时激活。 包含 models 结构化模型市场数据（含…