'transfer' 검색 결과

Use natural-language requests with Aomi CLI to check crypto prices and balances or prepare swaps, staking, and transfers between chains. Review queued transactions and simulate multi-step batches before separately authorizing wallet signing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check crypto prices and wallet balances
• Prepare and simulate a Uniswap swap
• Prepare an ETH stake with Lido

Manage a Binance Web3 wallet through the baw command-line tool. Check balances, transfer or swap tokens, manage limit orders and token permissions, and access prediction markets and DeFi, blockchain-based financial services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check wallet balances and transaction history
• Send tokens, swap assets, and manage limit orders
• Review and revoke token spending permissions

Develop and update MicroPython apps on an already provisioned Cardputer-Adv. Add apps to its launcher, transfer individual changed files without reflashing, inspect serial logs, and run a single command through the device’s interactive Python console.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a small app to the device launcher
• Transfer a changed Python file without reflashing
• Watch device logs while checking behavior

Transfer selected Chatbox Pro commits into the open source edition using cherry-picking, which copies individual changes. The skill handles excluded files, package names, dependency conflicts, lockfile regeneration, and version tags for manual releases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sync recent Pro changes into the open source edition
• Transfer a specified range of Pro commits
• Resolve conflicts caused by edition differences

Convert an existing SGLang cookbook page to shared templates driven by model configuration. Preserve its deployment commands and interactive choices, transfer eligible benchmark measurements, and check equivalence, links, and rendered behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating a legacy SGLang cookbook page
• Moving deployment choices into model configuration
• Transferring reproducible benchmark measurements

Analyze public blockchain records to assess crypto market conditions. Combine network activity, large-holder transfers, decentralized finance liquidity, and valuation measures into a report with indicator comparisons, a composite score, and an interpretation of market signals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare blockchain activity with price trends
• Examine large-holder transfers and exchange flows
• Review funds held in decentralized finance and trading liquidity

Investigate business email compromise, where impersonated executives or vendors request payments or sensitive data. Check sender details, unusual communication patterns, mailbox changes, and payment approval procedures to develop detection rules and verification controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating emails impersonating executives or vendors
• Reviewing requests to change vendor bank details
• Building detection rules for fraudulent payment requests

Analyze Zeek network logs to find lateral movement, when an intruder spreads between internal computers. Examine administrative file sharing, authentication across multiple hosts, and remote service operations to identify suspicious connections and reconstruct incident timelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing spread to other computers after an initial compromise
• Investigating unauthorized transfers to administrative shares
• Finding one account authenticating to many internal hosts

Review personal data handling against GDPR requirements, covering processing records, legal grounds, individual rights, breach procedures, and international transfers. Produce findings by article and a prioritized improvement roadmap with responsibilities, estimated costs, and timelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing evidence for a regulatory audit
• Reviewing privacy requirements for a new system
• Assessing GDPR gaps during acquisition due diligence

Analyze NetFlow v9 and IPFIX records, which summarize network connections, to spot traffic spikes, scanning, unusual outbound transfers, and periodic connections. Compare traffic against normal patterns and produce a prioritized findings report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating sudden increases in network traffic
• Checking unusual outbound transfers for possible data theft
• Finding periodic connections to external control servers

Use Wireshark and tshark to capture and inspect network packets, the small units of network communication. Investigate suspicious connections and protocol problems, extract transferred files, and export evidence and summaries for incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected intrusions or data leaks
• Diagnosing retransmissions and DNS failures
• Checking traffic against firewall and IDS rules

Investigate captured network traffic and connection records with Wireshark, Zeek, and NetFlow analysis. Identify communications with attacker infrastructure, trace movement between internal systems, estimate data transfers, and produce findings linked to packet evidence and timestamps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious periodic connections
• Measuring the volume and destination of data transfers
• Tracing attacker movement between internal systems

Helps configure and troubleshoot DeepSpeed for training large models across multiple devices. Covers memory optimization, parallel training, and DeepNVMe storage transfers, with examples for tuning data movement and configuring models that divide work among specialized components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring distributed training for large models
• Tuning tensor transfers to NVMe storage
• Setting up models with specialized expert components

Train smaller language models using knowledge distillation, where a larger model supplies examples or prediction targets. This skill covers training losses, generated training data, parameter choices, and output comparisons to support model compression and specialized student models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Training a smaller model from a larger teacher
• Fine-tuning with teacher-generated responses
• Distilling domain knowledge into a specialized model

Move an existing OpenClaw setup to NanoClaw v2 through a guided conversation. Review identity, memory, credentials, groups, and scheduled tasks, then decide what to transfer and preview changes before applying them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Moving an existing OpenClaw setup to NanoClaw v2
• Transferring agent personality and stored memories
• Sorting credentials into their required storage locations

Work in a local or remote computer environment whose screen you can watch. Run commands, transfer files, launch coding agents, move signed-in app sessions, and share the host computer’s network when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run tasks in an isolated environment you can watch
• Transfer files into and out of a Space
• Launch and monitor coding agents

Transfer a Notion blog draft into an MDX file, a Markdown format with components, for the Wasp website. Preserve text formatting, download and optimize images, and prepare metadata and links according to blog conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Move a Notion draft into the Wasp blog
• Convert article images to WebP
• Preserve headings, code blocks, and text formatting

Turn ePub books into training examples for models that reproduce an author's writing style. Covers text extraction, coherent segmentation, varied instructions, model training, and checks for copied phrases and style transfer to new scenarios.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build training datasets from ePub books
• Train a model on an author's writing style
• Check for copied phrases in generated prose

Guide knowledge distillation, where a smaller language model learns from a larger teacher. Covers training from teacher responses or prediction scores, adjusting training settings, and comparing outputs to support model compression and specialized training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compressing a large language model into a smaller model
• Training a specialized model from teacher-generated examples
• Comparing distillation methods and training settings

Implement and troubleshoot large-model training with DeepSpeed across multiple GPUs. The skill covers memory optimization, parallel training, and numerical precision choices, alongside examples for storage transfers and models that divide work among specialized components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review settings for distributed model training
• Tune transfers between NVMe storage and tensors
• Configure training with specialized model components

Review intellectual property terms in contracts to identify gaps in rights transfers, unclear ownership, licensing limits, and warranty or indemnity issues. Receive a risk-ranked memo with suggested edits and inconsistencies across clauses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check rights transfers in employment and consulting agreements
• Review the scope of a license grant
• Find conflicts between IP clauses and related statements of work

Track legal work after an acquisition closes, including counterparty consents, contract transfers, and purchase agreement deadlines. Build phased workplans from available deal documents, update progress, and produce status reports or CSV exports for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a phased legal workplan after an acquisition closes
• Prioritize contract transfers and outstanding consents
• Prepare reports on deadlines, blockers, and progress

Convert Markdown articles into formatted drafts in the X Articles editor. Transfer titles, headings, links, and lists through browser automation, reuse saved login sessions, and leave the draft open for manual review and publication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transfer a Markdown article into an X Articles draft
• Prepare a long article with headings, links, and lists
• Reuse a saved X login when creating article drafts

Check whether a Dynamo deployment is ready for disaggregated serving, where input processing and token generation run separately. Read-only probes inspect transport settings, GPU networking capabilities, and NIXL transfer-test readiness, then report gaps and next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check communication readiness after deployment
• Inspect transport setup before benchmarking
• Investigate suspected communication bottlenecks