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Found 31 Skills
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.
Generates a Jupyter notebook that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for...
Implement web service integrations in B2C Commerce using LocalServiceRegistry. Use when calling external APIs, configuring service credentials in services.xml, handling HTTP requests/responses, or implementing circuit breakers. Covers HTTP, SOAP, FTP, and SFTP services.
Validate and use packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for LLMs from in-batch packing for VLMs, and applying the right CP constraints.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Comprehensive guide for implementing Syncfusion WPF Tabbed Window control that combines SfChromelessWindow with SfTabControl for document-based applications. Use this skill when implementing chromeless tabbed windows, browser-style tabs, document management windows, or Visual Studio-style tabs in WPF. Covers tear-off tabs, floating tab windows, tab merging between windows, drag-drop tab reordering, and MVVM tab binding scenarios.
Implements the Syncfusion WPF SfTextInputLayout control to provide floating labels, assistive labels, and input validation UI for WPF text inputs. Use when adding floating labels, customizing input container styles, or showing validation/helper text.
Plan Nemotron customization pipelines from repo steps: SFT, PEFT/LoRA, AutoModel vs Megatron-Bridge, DPO/RLVR/GRPO/RLHF, curate-then-translate, BYOB/MCQ benchmark prep or translation, checkpoint conversion, ModelOpt optimization, and endpoint or checkpoint evaluation.
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
Implement Syncfusion Blazor notification components (Toast, Message, Skeleton) for user feedback and loading states. ALWAYS use this when users need toast notifications, popup messages, alert boxes, success/error/warning/info messages, loading skeletons, shimmer effects, content placeholders, or any feedback UI. Trigger immediately when users mention notifications, toasts, alerts, messages, loading states, skeleton screens, shimmer loading, user feedback, status messages, SfToast, SfMessage, SfSkeleton, notification popups, or need to show temporary messages, form validation feedback, or loading placeholders.
Build interactive timeline components that display events and milestones sequentially. Use SfTimeline with alignment controls, custom items, and event handlers. This skill covers timeline configuration and customization for creating visual timelines in Blazor applications.