ai-pipeline

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#ai-pipeline

I open-sourced the system behind my multilingual educational video generator

Reddit r/AI_Agents · 4d ago

The author open-sourced SarasFlow, an AI pipeline that generates educational videos from a topic by scripting, narrating, creating visuals, adding subtitles, and assembling the final video, with modular replaceable components.

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#ai-pipeline

@yoheinakajima: haha i made a virtual dance studio in @replit where i can upload a dance video and get my 3d rigs to dance the video > …

X AI KOLs Following · 2026-07-09 Cached

The author built a virtual dance studio on Replit that turns uploaded dance videos into 3D rig animations, though the movement pipeline still needs improvement.

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#ai-pipeline

I tested an AI pipeline that turns a topic into a full podcast episode without manual editing

Reddit r/ArtificialInteligence · 2026-07-07

A report on testing an AI pipeline that automatically generates a full podcast episode from a given topic without any manual editing.

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#ai-pipeline

COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami

Hugging Face Daily Papers · 2026-06-24 Cached

COrigami is an end-to-end AI pipeline that generates flat-foldable origami crease patterns from natural language, using optimization and aesthetic evaluation to enable human-AI co-creation in a mathematically constrained domain.

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#ai-pipeline

@BlockInsight214: Before feeding papers, contracts, or scanned documents to AI, the hardest step is often "cleaning up the PDF." These open-source projects specialize in that: converting to Markdown/JSON, ready for RAG or agents. ① MarkItDown · Microsoft, Office/PDF/images to Markdown in one click...

X AI KOLs Timeline · 2026-06-22 Cached

Introduces five open-source tools (MarkItDown, MinerU, Docling, marker, surya) that convert PDFs, Office documents, etc., into Markdown or JSON for direct use with RAG or AI agents.

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#ai-pipeline

Built an AI pipeline that transforms financial news into structured analysis

Reddit r/ArtificialInteligence · 2026-06-15

Built an AI pipeline that converts financial news into structured analysis including sentiment, risks, and opportunities, focusing on consistency through prompt engineering and validation.

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#ai-pipeline

@cjzafir: 359M Tokens burned in 72 hours. Cost: $78~ Results: New 240M fine-tuning dataset. Process: > Codex 5.5 as Orchestrator.…

X AI KOLs Timeline · 2026-05-14 Cached

A developer used Codex 5.5 as an orchestrator and Deepseek v4 pro as an executor to generate a 240M token fine-tuning dataset, burning 359M tokens at a cost of only $78.

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