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Ask HN: How to get started with local language models?

Mar 17, 2024 - news.ycombinator.com
The author expresses their struggle with understanding and keeping up with rapidly evolving AI technologies. They have experience using Talk to a Transformer, creating Markov chains for text generation, and installing and running LlamaGPT and WebGPT on a Raspberry Pi. However, they admit to not fully understanding how these technologies work beyond following installation instructions on GitHub. They also mention their confusion with HuggingFace and their difficulty with the release of new llama models.

The author further shares their unsuccessful attempt to use Mozilla Llamafiles for the Mixtral-8x7B-Instruct due to Windows' inability to run an EXE larger than 4GB. They express their frustration at being lost in the fast-paced world of local models and their need for guidance on how to understand these technologies. They acknowledge a gap in their fundamental understanding of these technologies and seek advice on how to fill it.

Key takeaways:

  • The author has experience with various text generation technologies, including Talk to a Transformer, Markov chains, Umbrel LlamaGPT, and webGPU WebGPT.
  • The author struggles to understand how these technologies work beyond following installation instructions, particularly with HuggingFace and the release of the llama models.
  • The author attempted to use the Mozilla Llamafiles for the Mixtral-8x7B-Instruct, but encountered issues with windows not running an EXE bigger than 4GB.
  • The author expresses a need for guidance on how to learn about local models in a rapidly evolving field.
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