gpt-2-output-dataset
Dataset of GPT-2 outputs for research in detection, biases, and more (by openai)
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners" (by openai)
Our great sponsors
| gpt-2-output-dataset | gpt-2 | |
|---|---|---|
| 11 | 63 | |
| 1,882 | 21,111 | |
| 1.2% | 1.9% | |
| 2.9 | 2.5 | |
| 5 months ago | 21 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
gpt-2-output-dataset
Posts with mentions or reviews of gpt-2-output-dataset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-28.
-
Being accused for using ChatGPT in my assignment, what should I do ?
especially: "Our classifier is not fully reliable. In our evaluations on a “challenge set” of English texts, our classifier correctly identifies 26% of AI-written text (true positives) as “likely AI-written,” while incorrectly labeling human-written text as AI-written 9% of the time (false positives). Our classifier’s reliability typically improves as the length of the input text increases. Compared to our previously released classifier, this new classifier is significantly more reliable on text from more recent AI systems." Many other classifiers are similar, e.g.:
-
Have OpenAI made GPT-2 available for download? I mean (pre) trained model, not source code? How large is it in terms of MB of traffic? MB on disk?
Links search found: https://github.com/openai/gpt-2-output-dataset (dataset? I want GPT, Pre-trained model).
- GPTZero case study discovers it's only accurate on less than 50% of text
- [P] I launched “CatchGPT”, a supervised model trained with millions of text examples, to detect GPT created content
- Detect ChatGPT Generated Content
-
meet the villain:
Source: the literal source code and paper by the original creators of a detector that most of these knockoff detectors are based on.
-
Originality.ai is a HUGE scam.
OpenAI published a detector themselves that seems to be quite good. https://github.com/openai/gpt-2-output-dataset/tree/master/detector
-
[Hobby Scuffles] Week of December 19, 2022
Here is OpenAI's own detector, but it's not impossible to beat by just doing some fairly basic stuff with things like automatic paraphrasing.
- Meta announces a GPT3-size language model you can download
-
GPT 3 output Detection
To a certain extent, GPT-2 worked because of the smaller dataset of just 40GB. Even in that model, researchers running detection found accurate results only in the:
gpt-2
Posts with mentions or reviews of gpt-2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-20.
- Sam Altman is still trying to return as OpenAI CEO
- Build Personal ChatGPT Using Your Data
-
Are the recent advancements in AI technology primarily driven by recent discoveries or the progress in hardware capabilities and the abundance of available data?
"Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. "
-
BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
They did release GPT-2 under the MIT License.
-
Don Knuth Plays with ChatGPT
Did you arrive at this certainty through reading something other than what OpenAI has published? The document [0] that describes the training data for GPT-2 makes this assertion hilarious to me.
[0]: https://github.com/openai/gpt-2/blob/master/model_card.md#da...
- Was frustriert euch an der Nutzung oder der Diskussion um KI?
- The AI
-
Help with pet project to learn - Running ChatGPT-2 at home
I made a clone of https://github.com/openai/gpt-2 on my local laptop
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
-
Elon Musk, Y Bengio, Andrew Yang etc called for a temporary pause on training systems exceeding GPT-4
Elon's 100M put this in the arena. https://github.com/openai/gpt-2
What are some alternatives?
When comparing gpt-2-output-dataset and gpt-2 you can also consider the following projects:
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
dalle-mini - DALL·E Mini - Generate images from a text prompt
metaseq - Repo for external large-scale work
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
oxen-release - Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
gpt-2-output-dataset vs mesh-transformer-jax
gpt-2 vs dalle-mini
gpt-2-output-dataset vs metaseq
gpt-2 vs minGPT
gpt-2-output-dataset vs oxen-release
gpt-2 vs Real-Time-Voice-Cloning
gpt-2 vs gpt-neo
gpt-2 vs sentencepiece
gpt-2 vs jukebox
gpt-2 vs mesh-transformer-jax
gpt-2 vs gpt-neox
gpt-2 vs stylegan2-pytorch