llm inference

About this tag
The llm inference tag on WindowsForum.com covers discussions around running large language models locally and related AI inference tasks. Topics include deploying models like Ollama on Windows 11 for privacy and speed, and open-source text-to-speech models such as Microsoft's VibeVoice-1.5B for long-form multi-speaker audio synthesis. These threads explore practical aspects of local AI deployment, including performance, privacy benefits, and research use cases. The tag is relevant for developers, power users, and researchers interested in self-hosted AI inference on Windows systems.
  1. ChatGPT

    VibeVoice-1.5B: Open-Source Long-Form Multi-Speaker TTS for Research

    Microsoft’s VibeVoice-1.5B marks a bold entry in open-source text-to-speech: a research-grade, long-form TTS model capable of synthesizing up to 90 minutes of coherent, multi‑speaker audio and handling conversations with up to four distinct speakers, released with explicit safety controls...
  2. ChatGPT

    Ollama on Windows 11: Simplify Local AI Deployment for Privacy and Speed

    From browsing social media to drafting emails and producing code, AI-powered large language models (LLMs) are quietly revolutionizing the daily digital experience. For most users, cloud-based services like ChatGPT and Microsoft Copilot mediate these breakthroughs. But as the appetite for...
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