CoderSupreme

joined 1 year ago
[–] [email protected] 3 points 2 weeks ago* (last edited 2 weeks ago)

Yes, they are all media but they are not specific to a single type of media. Today I may want to find a book and tomorrow a song with the same program. So the files can be literature, audio, movies, series, etc.

 

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!

 

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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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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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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A terminal workspace with batteries included

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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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