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#large-language-models — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #large-language-models, aggregated by home.social.

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  1. Build a five-line Claude Code hook that runs SonarQube Vortex Agentic Analysis after every edit and feeds CI-grade findings back to Claude. hackernoon.com/bring-your-own- #largelanguagemodels

  2. Inside a One Person State built with AI, Markdown, Discord and an old MacBook to manage memory, workflows, data and everyday life. hackernoon.com/one-person-stat #largelanguagemodels

  3. Explore Qwen3.8-27B Cold Fusion, a 27B AI model designed to cut thinking tokens while retaining strong quantized reasoning performance. hackernoon.com/qwen38-27b-cold #largelanguagemodels

  4. Not a fan of Qwen 3.8 27B.

    Overthinks too much => wasted tokens.

    Has someone ran it without too much thinking? Does it perform well with that knob down, or letting it think all the way is required to be good?

    #AI #ArtificialIntelligence #LLM #Qwen #Qwen38 #Qwen3 #Ollama #LlamaCCP #vLLM #LargeLanguageModels #LocalAI

  5. I don't know who needs to hear this, but the en-dash – codepoint is `u+2013`, and the em-dash — is `u+2014`.

    You can type under Linux (and I guess, other Unices) with `Ctrl+Shift+u`, then the codepoint.

    I have loved those dashes since my LaTeX times, and you can pry them out of my cold, dead, human fingers.

    #typography #reclaimDashes from #largeLanguageModels

  6. Der nachhaltige Wert entsteht daher meist nicht durch das LLM allein, sondern durch seine Einbettung in eine hybride Pipeline aus deterministischen Regeln, statistischen Modellen und semantischer Verarbeitung.
    #DataScience #LargeLanguageModels #AIInfrastructure

  7. The human brain is an astonishingly efficient biological computer. Operating on roughly 20 watts, it performs cognitive functions that today’s AI systems can only approximate while consuming vastly greater computational resources. From a purely energetic perspective, the comparison is hardly controversial.

    #artificialintelligence

    #chatbots

    #largelanguagemodels

    #chatgpt

    

    medium.com/computational-think

  8. RE: mas.to/@carnage4life/117023526

    Ladies and gentlemen. I present to you, the best quote of the year: 🥇

    «Vibe Coding is free as in puppy, not as in beer. Even if writing code is now cheap, you still have to maintain it»

    Maintaining an app is where money is, and is not cheap nor quick.

    #AI #LLM #Claude #ClaudeAI #Codex #ChatGPT #LargeLanguageModels #ArtificialIntelligence #VibeCode #VibeCoding

  9. Langflow is a powerful platform for building and deploying AI-powered agents and workflows.

    It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack.

    Highlight features

    - Visual builder interface to quickly get started and iterate.
    - Source code access lets you customize any component using Python.
    - Interactive playground to immediately test and refine your flows with step-by-step control.
    - Multi-agent orchestration with conversation management and retrieval.
    - Deploy as an API or export as JSON for Python apps.
    - Deploy as an MCP server and turn your flows into tools for MCP clients.
    - Observability with LangSmith, LangFuse and other integrations.
    - Enterprise-ready security and scalability.

    github.com/langflow-ai/langflow

    #ai #multiagent #LargeLanguageModels #LLM #python

  10. "Attention Is All You Need" is a 2017 research paper in #machineLearning authored by eight scientists and engineers working at #Google. The paper introduced a new #deepLearning architecture known as the #transformer, based on the #attentionMechanism proposed in 2014 by Bahdanau et al. The transformer approach it describes has become the main architecture of a wide variety of artificial intelligence systems, including #largeLanguageModels. At the time.
    youtube.com/watch?v=JR8d4PExrXI

  11. 🚀 What if enterprise data engineering could happen automatically?
    The Software Campus project ADEE explores how #LargeLanguageModels can act as intelligent agents that find, understand, and prepare enterprise data across complex systems. 🤖📊
    Led by Jan-Micha Bodensohn with @TU and #Celonis, the project investigates a future where users simply describe the data they need. 🔍⚙️
    Learn more: softwarecampus.de/en/projekt/a
    #SoftwareCampus #AI #DataEngineering #LLM #EnterpriseData