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Repeng Alternatives
Similar projects and alternatives to repeng
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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.
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system_prompts_leaks
Extracted system prompts from Anthropic - Claude Fable 5, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-5.6-Sol, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
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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
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augmented-interpretable-models
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
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reweight-gpt
Reweight GPT - a simple neural network using transformer architecture for next character prediction
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language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
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Local-LLM-Langchain
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
repeng discussion
repeng reviews and mentions
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Claude: System Prompts
In this token-mania frenzy that has taken hold of the industry, I guess solutions like "soul document" and "system prompts" will continue for a while, and once the industry matures a bit we'll go back to things like LoRA[1] and control vectors[2][3].
The other explanation may be that these AI labs may be expecting more government scrutiny, and "here's a document" would probably go better than "here's some vector representation of our values" when talking to politicians.
[1] https://arxiv.org/abs/2106.09685
[2] https://vgel.me/posts/representation-engineering/
[3] https://transformer-circuits.pub/2024/scaling-monosemanticit...
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DeepSeek-V4-Flash means LLM steering is interesting again
This reminds me of control vectors, especially this line in the linked DwarfStar repo:
> y = y - scale * direction[layer] * dot(direction[layer], y)
From https://vgel.me/posts/representation-engineering/
> A control vector is a vector (technically a list of vectors, one per layer) that you can apply to model activations during inference to control the model's behavior without additional prompting
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Why do LLMs freak out over the seahorse emoji?
This is one of the most interesting articles I've read ... maybe this year. The author also has another one that is super cool: https://vgel.me/posts/representation-engineering/
I wish I could take the time to learn more about this because it looks like a way to make LLMs more useful beyond additional prompting techniques.
- Representation Engineering
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Anthropic: Persona Vectors
https://vgel.me/posts/representation-engineering/
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RWKV Language Model
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
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vgel/repeng is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of repeng is Jupyter Notebook.