reweight-gpt VS repeng

Compare reweight-gpt vs repeng and see what are their differences.

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reweight-gpt repeng
1 1
51 573
- 3.7%
6.3 5.6
over 1 year ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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reweight-gpt

Posts with mentions or reviews of reweight-gpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-01.
  • [Research] An alternative to self-attention mechanism in GPT
    2 projects | /r/MachineLearning | 1 May 2023
    Instead of self attention, I tried to generate the self-attention matrix directly using lateral connections among the inputs. The method is like LSTM but it gates all the past inputs using separate gates for each input (it can be parallelized). It's very easy to implement the method into the current GPT architectures. You just remove the attention part and replace it with learnable weights. Her is a working implementation (around100 lines!): Code: https://github.com/hunar4321/reweight-gpt In my experience, it learns very well and it can super-pass the self-attention mechanism if the number of the parameters are matched. (I tested it on small datasets for next character prediction. I haven't systematically compared these two methods yet).

repeng

Posts with mentions or reviews of repeng. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-12-30.
  • RWKV Language Model
    2 projects | news.ycombinator.com | 30 Dec 2024
    I'm quite interested in repeng [0] (representztion engineering) for steerability of (so fzr transformer based) LLMs and was wondering if anyone had tried such methods on rwkv (or mamba for that matter). Maybe there are some low hanging fruits about it.

    [0] https://github.com/vgel/repeng/issues

What are some alternatives?

When comparing reweight-gpt and repeng you can also consider the following projects:

ai_story_scale - The AI story scale (AISS): A human rating scale for texts written with generative language models.

RWKV-Runner - A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Promptify - Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

numerical-linear-algebra - Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

generative-ai-for-beginners - 21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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