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  1. Home
  2. /Repositories
  3. /Eventual-Inc/Daft
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repoGitHubTrust 82 · PrimaryPublished yesterdayLive · 22h ago

Eventual-Inc/Daft

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningnewsNVIDIA and AWS Collaborate to Bring AI to Production at ScalenewsNVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout

Implements

paperGoku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing

Related across the graph

newsInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningpaperGoku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video EditingnewsNVIDIA and AWS Collaborate to Bring AI to Production at ScalenewsNVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout
Knowledge path·NInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-Tuning→PGoku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing→NNVIDIA and AWS Collaborate to Bring AI to Production at Scale→REventual-Inc/Daft

Topics

ai-engineeringai-pipelinearrowartificial-intelligencebig-datadata-engineeringdistributeddistributed-computingdistributed-systemsembeddings

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Graph trust82Primary
Graph score5597