'reasoning' 검색 결과

Preserve a selected answer, decision, insight, or conversation summary as an Obsidian note. Check for duplicates, retain uncertainty, and preview the note together with related index and log updates before applying the reviewed changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save an answer from a conversation
• Record a decision and its reasoning
• Keep a useful insight as a note

Guides reinforcement learning, where models learn from rewards, using torchforge and PyTorch. Covers reward design, custom loss functions, and distributed training so researchers can experiment with algorithms while keeping infrastructure concerns separate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train mathematical reasoning models with GRPO
• Experiment with custom loss functions
• Scale training across multiple GPUs or nodes

Assess language models with over 60 academic benchmark tests using consistent prompts and scoring. Compare models, track performance during training, and organize research results with support for HuggingFace models, vLLM, and APIs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare models on standard knowledge and reasoning tests
• Track model performance across training checkpoints
• Organize evaluation results for research reports

Guides LLM training with verl using rewards to improve model responses. Covers data preparation, reward functions, GRPO and PPO configuration, distributed GPU training, and troubleshooting memory shortages or unstable training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train math reasoning models with GRPO and answer-based rewards
• Configure PPO training with a separate value-estimation model
• Run large-model training across multiple GPU nodes

Examine plans, proposals, and decisions by questioning assumptions, building opposing arguments, anticipating failures, or checking evidence. Presents three to five concrete challenges, then uses your responses to develop a stronger position and practical next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a plan's assumptions before committing
• Examine objections to a technology or vendor choice
• Anticipate project failures and possible mitigations

Find AI models for a specific task using official Hugging Face benchmark leaderboards. Compare scores, model sizes, and licenses, with memory-based estimates of device suitability and flags for models requiring quantization or API access.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare coding or reasoning models by benchmark scores
• Find model candidates for a laptop's available memory
• Choose models for OCR or speech recognition

Review legal essays using IRAC: issue, rule, application, and conclusion. Get feedback on missed issues, rule accuracy, reasoning, and organization, plus recurring patterns across practice sessions, without rewritten essays or model answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get structured feedback on a legal practice essay
• Practice with a generated hypothetical legal problem
• Identify gaps in applying legal rules to facts

Prepare for being called on in law class with likely questions about assigned cases, tailored to the professor’s tendencies. Practice answering through guided follow-up questions, then receive a summary of strengths, gaps, and points to reread.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare for questions about an assigned case
• Practice stating a court’s decision and reasoning
• Explore how changed facts could affect the outcome

Build your own case brief with a preferred template, focused questions, and feedback on your understanding. The skill guides legal study by checking facts, issues, holdings—the court’s answers—and reasoning, while flagging uncertain interpretations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a case brief after reading a judgment
• Practicing a one-sentence statement of the holding
• Checking a brief against the court’s own wording

Get structured feedback on a legal memo, brief, paper, or exam essay without having it rewritten. Review organization, reasoning, clarity, and citation form, with three prioritized improvements and a record of recurring writing patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing the structure of a legal memo
• Checking how rules connect to facts and counterarguments
• Prioritizing improvements before revising a draft

Check proposed AI uses against your organization's registry and prohibited uses. Classify each as approved, conditional, or not approved, explain the reasoning, and identify required actions, responsible teams, and relevant legal reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a proposed AI use is permitted
• Listing requirements and owners for conditional use
• Reviewing multiple AI proposals together

Investigate why TypeScript uses a particular built-in type by tracing issues, proposed changes, and team comments. Produces a linked timeline and explanation of past trade-offs to help assess type overrides in ts-reset or proposed typing changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate the reasoning behind a built-in type
• Assess a proposed type override in ts-reset
• Find rejected or reverted typing changes

Plan agent replacements while keeping the same workspace identity. The skill separates creating a successor from assigning it to the existing role, records both outcomes, and prepares durable handover notes and traceable replacement history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Replace an agent while preserving its workspace identity
• Prepare recap notes for a successor
• Track successor creation and assignment separately

Plan how agents retain active work across conversation compaction, context loss, and restarts. Organize restoration packets that preserve purpose, progress, ownership, and constraints, distinguish resume from fork or rebuild, and check whether work actually resumes correctly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare restoration materials before conversation compaction
• Preserve task purpose and ownership across a restart
• Distinguish native resume, fork, and artifact-based rebuild

Package an OpenRig agent arrangement and workflow for reuse by others. Guides bundle creation, inspection before installation, and checks in a clean environment to identify hidden dependencies on local paths, providers, or credentials.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Package a proven agent setup for reuse
• Inspect bundle contents before installation
• Check whether a bundle works in a clean environment

Plan and verify OpenRig startup, shutdown, and recovery. Compare reported status with actual running sessions, distinguish recovery outcomes, and define reboot tests that expose partial failures instead of hiding them behind a fresh launch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking rig status after a host reboot
• Designing recovery tests across runtimes
• Investigating partially restored agent sessions

Turn unstructured clinical encounter summaries into SOAP notes, a four-part format for medical records. Organize symptoms and findings, include diagnoses with ICD-10 classification codes, and document treatment steps, follow-up timing, and reasons to return for care.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting unstructured clinical summaries into SOAP notes
• Documenting diagnoses with ICD-10 codes and supporting reasoning
• Organizing treatment details, dosages, and timelines

Build charts from tables using Vega-Lite, Vega, or Observable Plot. Describe data, visual elements, and interactions in reusable definitions, choose a suitable tool, and assess mobile layout, performance, and when custom rendering becomes necessary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a Vega-Lite chart specification from a dataset
• Choosing between Plot, Vega-Lite, and D3
• Building layered charts with panels and tooltips

Turn AI-assisted coding work into optional, short learning exercises. Predict behavior, compare your approach with the implementation, or explain code in your own words, with feedback that helps clarify how the code works and why design choices were made.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding a newly created module
• Reviewing the reasoning behind a design decision
• Checking understanding after a database schema change

Create ADRs, short records of architectural decisions, that explain what was chosen, why, and with what trade-offs. Choose among three formats and organize dates, status, numbering, and related links for future team members.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording why a database was chosen
• Preserving the rationale for a framework choice
• Documenting an authentication approach

Add animated AI activity indicators to React interfaces, with distinct states for searching, reasoning, listening, writing, and creating. The skill covers matching indicators to real tasks, choosing sizes and themes, and providing accessible status announcements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Showing search and writing states in an AI chat
• Indicating microphone input in a voice interface
• Replacing a generic loading spinner

Select technologies for AI and machine learning features in .NET 8+ applications. Get task-specific plans or implementation guidance for structured predictions, text generation, document retrieval, tool-using agents, and running pretrained models locally or in production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing libraries for classification or prediction in .NET
• Adding text generation or summarization to an application
• Designing document retrieval with source-backed AI answers

Turn previously retrieved Jira requirements and Confluence documents into a structured implementation plan. Tasks are grouped into frontend, backend, and infrastructure work, with architectural reasoning, blocking dependencies, and risks paired with mitigation measures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an implementation plan from Jira requirements
• Dividing work across frontend, backend, and infrastructure
• Identifying blocking dependencies between tasks

Turn validated vulnerabilities into clear bug bounty reports for HackerOne, Bugcrowd, Intigriti, or Immunefi. Platform templates help organize demonstrated impact, reproducible steps, supporting evidence, severity reasoning, and concrete fixes in language reviewers can follow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a report using a platform-specific template
• Write clear titles and impact summaries
• Organize reproduction steps and supporting evidence