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Deploying LLMs Locally: Ollama, llama.cpp, and vLLM Comparison

Deploying LLMs Locally: Ollama, llama.cpp, and vLLM Comparison Run any model on your hardware — no API keys, no cloud, complete privacy. Introduction Local LLMs have matured.

  • Ollama offers easy installation for Linux, macOS, and Windows
  • llama.cpp provides flexibility with GPU backend support and Python clients
  • vLLM prioritizes high throughput and performance with higher GPU memory requirements

AI Coding Agents Generate More Code, But Not More Software

A study of more than 700 software firms found that AI coding agents significantly increase the amount of code developers produce, but not the amount of software companies actually ship.

  • AI coding agents increase code volume by 30%, commits by 20%, and pull requests by 23%
  • Code review process duration increases by 49% after AI agents implementation
  • No significant change in software output or employment due to AI agents

Meta has some Wonder Full new AI models

Meta is making up for lost time in the AI race. After launching Muse Spark, the first model from its revamped Superintelligence Labs division, and buzzy AI agent Muse, it's now launching two new…

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