ai_story_scale
The AI story scale (AISS): A human rating scale for texts written with generative language models. (by MWiechmann)
language-planner
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents" (by huangwl18)
ai_story_scale | language-planner | |
---|---|---|
2 | 1 | |
9 | 267 | |
- | 3.7% | |
3.6 | 0.0 | |
9 months ago | almost 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Creative Commons Attribution Share Alike 4.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ai_story_scale
Posts with mentions or reviews of ai_story_scale.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Survey Results Preview (90% Progress Milestone): Morpho
To get a better idea of what is going on with Morpho stories, here are two typical outputs from the Morpho preset.
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Survey Results Preview III (75% Progress): Basic Coherence
Two typical outputs are here.
language-planner
Posts with mentions or reviews of language-planner.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing ai_story_scale and language-planner you can also consider the following projects:
augmented-interpretable-models - Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
BLOOM-fine-tuning - Finetune BLOOM
Smarty-GPT - A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
reweight-gpt - Reweight GPT - a simple neural network using transformer architecture for next character prediction
mgpt - Multilingual Generative Pretrained Model