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Build an AI-powered Blazor File Manager to summarize documents and auto-organize files, boosting user experience, speed, and productivity in modern .NET apps.
I gotta say, the Data Scientist's Guide to AI Summarization in 2026 I have spent the better part of three years building summarization pipelines, and I can tell you with reasonabl...
Modern applications deal with massive amounts of text — support tickets, CRM notes, blog posts, meeting transcripts, and internal documentation. The problem isn’t access to informa...
A functional automated document processing pipeline typically needs to know what type of document it’s dealing with before it can do anything useful with it. The extraction logic t...
For AI engineers who want to understand every step, not just call the library The post Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Co...
Have you seen those new AI-generated review summaries on Amazon? They are incredibly useful for buyers, but there’s a catch: they are completely locked inside Amazon’s ecosyste...
Enterprise Document Intelligence [Vol.1 #6a] - Why a user question deserves the same parsing as the document, and how it splits into a retrieval brief and a generation brief before...
Enterprise Document Intelligence [Vol.1 #7B] - Retrieval is filtering on structured tables: keywords first, TOC second, embeddings last The post Anchor Detection for RAG: Parallel...
Summary What Are Custom Highlights? Why Do You Need Custom Highl...
What's up, DocLang?
A few weeks ago I wrote about using Chrome's built-in AI support to summarize documents - "Summarizing Docs with Built-in AI". This was a followup on an earlier post that was PDF o...
Background: Existing work to understand adults’ health care experiences has focused on the analysis of patient feedback provided as written responses to after-visit surveys or soci...
Enterprise Document Intelligence [Vol.1 #9A] - Same paper, same question as Article 1. One upgraded contract per brick: document parsing, question parsing, retrieval, generation Th...
Enterprise Document Intelligence [Vol.1 #7C] - One LLM call ranks the candidates with reasons. The output is one typed object your auditor can defend The post An LLM as arbiter in...
Enterprise Document Intelligence [Vol.1 #5ter] - Table cells, OCR, captions, headings: cloud-grade structure, running on your own machine. No key, no per-page bill, nothing leaves...
Enterprise Document Intelligence [Vol.1 #6c] - The decisions the parser makes on top of the user string, using the document’s profile: dispatch, activations, full schema, three app...
Enterprise Document Intelligence [Vol.1 #5quinquies] - Same 1974 scanned PDF, two engines. EasyOCR recovers text. Docling recovers text + sections + figures. The structural gap mak...
Автоматическая генерация структурированных академических конспектов из аудиозаписей лекций по точным и естественным наукам затруднена для локальных малых языковых моделей (small la...
Build scalable document workflows in .NET with AI agent tools, Markdown conversion, and faster PDF, Word, and Excel processing.
Enterprise Document Intelligence [Vol.1 #7bis] - Tobi Lütke and Andrej Karpathy named the practice in 2025. For a single document, each brick emits typed pieces that converge on on...
Enterprise Document Intelligence [Vol.1 #5septies] - When a PDF prints a contents page but exposes no outline, two ways to turn it back into structure, plus the page-alignment step...
SmolVLM2-2.2B sits at a genuinely useful point on the capability-size trade-off curve; small enough to run on a single consumer GPU, capable enough to produce video summaries that...
Most project docs go stale the moment you leave the meeting. The Master Memo is a different approach: an AI-maintained living document that stays current automatically.
There is a moment in every web project when the design is finished, but the real work is just beginning. Someone has to document the spacing, extract the colors, note the typograph...
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