llm-pipeline

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#llm-pipeline

@GitHub_Daily: SpineDigest is an open-source tool on GitHub that distills entire books into structured key content, allowing you to decide what to retain based on your reading goals. Its processing approach is quite interesting: it first uses AI to extract key knowledge points chapter by chapter, then employs algorithms to construct a knowledge graph that connects related concepts. Finally, it uses…

X AI KOLs Timeline · 3d ago Cached

SpineDigest is an open-source CLI tool that uses a multi-stage AI pipeline to distill long books into structured summaries, generating chapter topology maps and knowledge graphs, and displaying them with the Inkora reader.

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#llm-pipeline

@DeRonin_: This article made me rewrite 4 sections of my automated content engine tonight content engine v2: https://x.com/DeRonin…

X AI KOLs Following · 4d ago

The author shares four specific improvements to their automated content engine, including smaller context packets, viral postmortems, folder-based state management, and bookmarkability scoring.

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#llm-pipeline

ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline

arXiv cs.CL · 2026-04-20 Cached

ConlangCrafter is a multi-hop LLM pipeline that automates constructed language (conlang) creation by decomposing the process into modular stages including phonology, morphology, syntax, lexicon generation, and translation. The system leverages LLMs' metalinguistic reasoning with randomness injection and self-refinement to produce coherent and typologically diverse constructed languages.

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