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General Generatives

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Articole: 7

  1. Models Will Get Cheaper, Problems Will Get More Valuable: From Today’s AI Boundaries to the Problem-Solving Industry 20 Years From Now

    (General Generatives)

    Models Will Get Cheaper, Problems Will Get More Valuable From Today’s AI Boundaries to the Problem-Solving Industry 20 Years From Now This article starts from a long-term view: as models, compute, and general-purpose AI become infrastructure, models thems…

  2. Artificial Intelligence Cannot Live Only on the Internet

    (General Generatives)

    中文版：人工智能不能只活在互联网里 - 知乎 Over the past decade, artificial intelligence has made remarkable progress.

  3. Latent Problem Modeling: A Pragmatic Form of Artificial Intelligence

    (General Generatives)

    Chinese Version: 潜变量问题建模：一种务实的人工智能形式 Why Latent Problem Modeling?

  4. Praising the Nobel Prize Committee for Breaking in the Wall between Physics and Computer Science

    (General Generatives)

    The Nobel Prize committee is so brave and progressive to break the wall between physics and computer science.

  5. Thoughts on AIGC for Non-AI Industries

    (General Generatives)

    1.

  6. Serving Llama-2 7B using llama.cpp with NVIDIA CUDA on Ubuntu 22.04

    (General Generatives)

    This blog post is a step-by-step guide for running Llama-2 7B model using llama.cpp, with NVIDIA CUDA and Ubuntu 22.04. llama.cpp is an C/C++ library for the inference of Llama/Llama-2 models.

  7. A Perplexity Benchmark of llama.cpp

    (General Generatives)

    Without further ado, here are the results (explanations and discussions later): Table 1: Perplexity on wikitext-2 test set.