Difference between revisions of "Generative Pre-trained Transformer (GPT)"
| Line 36: | Line 36: | ||
<youtube>UULqu7LQoHs</youtube> | <youtube>UULqu7LQoHs</youtube> | ||
| + | <youtube>OJGDmXDt5QA</youtube> | ||
| + | <youtube>XsHmtuXucqY</youtube> | ||
| + | <youtube>M6EXmoP5jX8</youtube> | ||
| + | <youtube>gg-JnQ1E2ek</youtube> | ||
<youtube>0OtZ8dUFxXA</youtube> | <youtube>0OtZ8dUFxXA</youtube> | ||
<youtube>8ypnLjwpzK8</youtube> | <youtube>8ypnLjwpzK8</youtube> | ||
| Line 43: | Line 47: | ||
<youtube>u1_qMdb0kYU</youtube> | <youtube>u1_qMdb0kYU</youtube> | ||
<youtube>0n95f-eqZdw</youtube> | <youtube>0n95f-eqZdw</youtube> | ||
| + | |||
== r/SubSimulator == | == r/SubSimulator == | ||
Revision as of 15:31, 16 July 2020
YouTube search... ...Google search
- Text Transfer Learning
- Natural Language Generation (NLG)
- OpenAI Blog | OpenAI
- Language Models are Unsupervised Multitask Learners | Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever
- (117M parameter) version of GPT-2 | GitHub
- GPT-2: It learned on the Internet | Janelle Shane
- Attention Mechanism/Transformer Model
- Neural Monkey | Jindřich Libovický, Jindřich Helcl, Tomáš Musil Byte Pair Encoding (BPE) enables NMT model translation on open-vocabulary by encoding rare and unknown words as sequences of subword units.
- Too powerful NLP model (GPT-2): What is Generative Pre-Training | Edward Ma
- Bidirectional Encoder Representations from Transformers (BERT)
- ELMo
- Language Models are Unsupervised Multitask Learners - GitHub
- OpenAI Creates Platform for Generating Fake News. Wonderful | Nick Kolakowski - Dice
- GPT-2 A nascent transfer learning method that could eliminate supervised learning some NLP tasks | Ajit Rajasekharan - Medium
- How to Get Started with OpenAIs GPT-2 for Text Generation | Amal Nair - Analytics India Magazine
- Microsoft Releases DialogGPT AI Conversation Model | Anthony Alford - InfoQ - trained on over 147M dialogs
- Case Studies: Writing
- OpenAI’s fiction-spewing AI is learning to generate images | Karen Hao - MIT Technology Review By training GPT-2 on pixels instead of words, the model can accept half an image and predict how to complete it
a text-generating bot based on a model with 1.5 billion parameters. ...Ultimately, OpenAI's researchers kept the full thing to themselves, only releasing a pared-down 117 million parameter version of the model (which we have dubbed "GPT-2 Junior") as a safer demonstration of what the full GPT-2 model could do.Twenty minutes into the future with OpenAI’s Deep Fake Text AI | Sean Gallagher
- Try GPT-2...Talk to Transformer - completes your text. | Adam D King, Hugging Face and OpenAI
r/SubSimulator
Subreddit populated entirely by AI personifications of other subreddits -- all posts and comments are generated automatically using:
results in coherent and realistic simulated content.
GetBadNews
- Get Bad News game - Can you beat my score? Play the fake news game! Drop all pretense of ethics and choose the path that builds your persona as an unscrupulous media magnate. Your task is to get as many followers as you can while