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submitted 1 month ago* (last edited 1 month ago) by CoderSupreme@programming.dev to c/linux@lemmy.ml

I am seeking advice regarding my ebook collection on a Linux system, which is stored on an external drive and sorted into categories. However, there are still many unsorted ebooks. I have tried using Calibre for organization, but it creates duplicate files during import on my main drive where I don't want to keep any media. I would like to:

  • Use Calibre's automatic organization (tags, etc.) without duplicating files
  • Maintain my existing folder structure while using Calibre
  • Automatically sort the remaining ebooks into my existing categories/folder structure

I am considering the use of symlinks to maintain the existing folder structure if there is a simple way to automate the process due to my very large collection.

Regarding automatic sorting by category, I am looking for a solution that doesn't require manual organization or a significant time investment. I'm wondering if there's a way to extract metadata based on file hashes or any other method that doesn't involve manual work. Most of the files should have title and author metadata, but some won't.

Has anyone encountered a similar problem and found a solution? I would appreciate any suggestions for tools, scripts, or workflows that might help. Thank you in advance for any advice!

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It seems most instances still use version 0.19.3 and the only one using the up-to-date version is lemmy.ml. They used to update relatively fast. What's changed?

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Hey Linux community,

I'm struggling with a file management issue and hoping you can help. I have a large media collection spread across multiple external hard drives. Often, when I'm looking for a specific file, I can't remember which drive it's on.

I'm looking for a file indexing and search tool that meets the following requirements:

  • Ability to scan multiple locations
  • Option to exclude specific folders or subfolders from both scan and search
  • File indexing for quicker searches
  • Capability to search indexed files even when the original drive is disconnected
  • Real-time updates as files change

Any recommendations for tools that meet most or all of these criteria? It would be a huge help in organizing and finding my media files.

Thanks in advance for any suggestions!

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I used Google before, but since I degoogled, I only have my contacts on my Android phone. However, I would like to be able to access them on Linux too and have them synced.

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... (github.com)
submitted 7 months ago* (last edited 6 months ago) by CoderSupreme@programming.dev to c/linux@programming.dev
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submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/auai@programming.dev

Permanently Deleted

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... (www.omgubuntu.co.uk)
submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/opensource@lemmy.ml
128
... (www.phind.com)
submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/technology@lemmy.ml
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... (programming.dev)
submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/localllama@sh.itjust.works

CogVLM: Visual Expert for Pretrained Language Models

Presents CogVLM, a powerful open-source visual language foundation model that achieves SotA perf on 10 classic cross-modal benchmarks

repo: https://github.com/THUDM/CogVLM abs: https://arxiv.org/abs/2311.03079

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... (github.com)
submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/opensource@lemmy.ml

A self-hosted BitTorrent indexer, DHT crawler, content classifier and torrent search engine with web UI, GraphQL API and Servarr stack integration.

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... (github.com)
submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/opensource@lemmy.ml

A terminal workspace with batteries included

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... (programming.dev)
submitted 10 months ago* (last edited 7 months ago) by CoderSupreme@programming.dev to c/localllama@sh.itjust.works

article: https://x.ai

trained a prototype LLM (Grok-0) with 33 billion parameters. This early model approaches LLaMA 2 (70B) capabilities on standard LM benchmarks but uses only half of its training resources. In the last two months, we have made significant improvements in reasoning and coding capabilities leading up to Grok-1, a state-of-the-art language model that is significantly more powerful, achieving 63.2% on the HumanEval coding task and 73% on MMLU.

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CoderSupreme

joined 1 year ago