AI tools for “ui”
483 results (tools & skills) · 657 ms · understood as category: Design
…on WordPress. Use when the user wants to create, make, build, launch, draft, publish, post, or schedule something new. Collect inputs, show the full draft, and create only after explicit…
…Shopify, Amazon Seller Central, Klaviyo, Stripe, QuickBooks, Xero, BigQuery, Snowflake, Google Sheets, and more - and resolve which connected account a request means. Use when the user wants to connect or set…
…compose mount gotchas, nvinfer config, runtime TRT engine build, deployment, and a segmentation-capable model addendum…
…a HuggingFace ViT/DETR/ SegFormer into tao-pytorch", "build a TAO trainer + deploy pipeline for an HF CV model", or pastes a HuggingFace model URL/ID and wants it turned into a TAO model. Covers the full 7-phase…
…compute cluster, optional cluster libraries from requirements-aidp.txt, the backup-snowflake-migration/ workspace folder holding the data-migration scripts and the plan artifacts, and the migration jobs…
…the entire Snowflake-to-AIDP migration pipeline against a built-in emulated estate and an emulated AIDP — no credentials, no network, nothing real is touched. Use when the user wants to understand what the migrator…
…video training data", "generate video QA datasets", "build CoT reasoning traces from videos", "auto-label videos", or run the video_reasoning_annotation pipeline. Triggers include "video annotation", "video CoT",…
…tao_automl, bayesian search, hyperband, ASHA, LLM-guided search, autoresearch, or wants to tune train/evaluate/inference/distill/prune/quantize for a TAO network. Model actions use the resolved image; venv…
…evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7:…
…"run video_clip train/evaluate/inference/export", "build a Video-CLIP TensorRT engine", "InternVideo2-CLIP on KPI chunks", or "TAO video_clip on vadr1_chunks…
…backend image, optionally plans explicit clean source builds, prepares checkpoints, validates the first update in-process, and returns token-weighted losses and task-aware…
…annotations from images with KITTI labels, build region descriptions, produce grouped grounding phrases tied to bboxes, run a double-check verification pass on grounding expressions, auto-label traffic /…
…Use when the user asks about compute sizing, warehouse equivalence, cluster shapes, credits, or what the migration will…
…to surface every low-confidence conversion and REVIEW REQUIRED marker for a human decision (approve/edit/reject) rather than letting them ship…
Build a high-level Snowflake to AIDP migration plan and present it for approval. States which objects can migrate and which cannot with a brief reason for each, applies user-supplied restrictions such as excluded…
…instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone with a Mask2Former-style head and 3D frustum reconstruction. Use when training, evaluating, exporting, or running inference for a TAO…
…execute anything on a live cluster (that's a separate, unbuilt capability — see…
…produces correct data — that gap is called out below. Requires a USER cluster, not the workspace…
…the LLM provider key (OPENAI_API_KEY on this Codex build), and (only if the user needs them) OCI/AIDP reachability for deploy and reconcile. Use the first time the migrator is invoked on a workstation, or when…
…with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask-Grounding-DINO model. Trigger phrases include…