stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data. (by tatsu-lab)

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stanford_alpaca reviews and mentions

Posts with mentions or reviews of stanford_alpaca. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-19.
  • What is Alpaca LLM?
    1 project | dev.to | 15 Mar 2025
    # Clone the Alpaca LLM repository git clone https://github.com/tatsu-lab/stanford_alpaca.git cd stanford_alpaca
  • AI Engineer Reading List
    1 project | news.ycombinator.com | 13 Jan 2025
    I think most of the instruction fine-tuning methods for oss models stem from Alpaca, so it should be included: https://crfm.stanford.edu/2023/03/13/alpaca.html

    And the one referenced in there on synthetic data generation: https://arxiv.org/abs/2212.10560

  • 5 AI Myths Debunked: Learn the Facts
    1 project | dev.to | 5 Aug 2024
    The quality of the data and the training methodology are often more critical determinants of a model's performance and accuracy. This has already been proved with the Alpaca experiment by Stanford where a simple 7 billion features powered Llama-based LLM could tie the astonishing 176 billion features powered ChatGPT 3.5.
  • How Open is Generative AI? Part 2
    8 projects | dev.to | 19 Dec 2023
    Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.
  • Ask HN: AI/ML papers to catch up with current state of AI?
    3 projects | news.ycombinator.com | 15 Dec 2023
  • OpenAI board in discussions with Sam Altman to return as CEO
    1 project | news.ycombinator.com | 19 Nov 2023
  • Are there any AI like ChatGPT without content restrictions?
    1 project | /r/OpenAI | 3 Oct 2023
  • Fine-tuning LLMs with LoRA: A Gentle Introduction
    3 projects | dev.to | 22 Aug 2023
    In this article, we're going to experiment with LoRA and fine-tune Llama Alpaca using commercial hardware.
  • Creating a new Finetuned model
    3 projects | /r/LocalLLaMA | 11 Jul 2023
    Most papers I did read showed at least a thousand, even 10000 at several cases, so I assumed that to be the trend in the case of Low rank adapter(PEFT) training.(source: [2305.14314] QLoRA: Efficient Finetuning of Quantized LLMs (arxiv.org) , Stanford CRFM (Alpaca) and the minimum being openchat/openchat · Hugging Face ; There are a lot more examples)
  • Shock tick up for wage growth to 7.3% in blow for Bank of England
    1 project | /r/unitedkingdom | 11 Jul 2023
    I'm not talking about OpenAI ChatGPT I'm talking about things ALPACA, and where did they train these models? Off the existing models for a fraction of a fraction of a fraction of the cost: https://crfm.stanford.edu/2023/03/13/alpaca.html
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