DialoGPT is “a tunable gigaword-scale neural network model for generation of conversational responses, trained on Reddit data”. It uses a Transformer based architecture for doing so, because of their great empirical success. Doing so, the creators have attempted to resolve challenges present with neural response generation – i.e. generating texts relevant to the prompt. These are related to the fact that conversations are informal, noisy, and contain abbreviations or errors.
Learn how large language models and other foundation models are working and how you can train open source ones yourself.
Keras is a high-level API for TensorFlow. It is one of the most popular deep learning frameworks.
Read about the fundamentals of machine learning, deep learning and artificial intelligence.
To get in touch with me, please connect with me on LinkedIn. Make sure to write me a message saying hi!
The content on this website is written for educational purposes. In writing the articles, I have attempted to be as correct and precise as possible. Should you find any errors, please let me know by creating an issue or pull request in this GitHub repository.
All text on this website written by me is copyrighted and may not be used without prior permission. Creating citations using content from this website is allowed if a reference is added, including an URL reference to the referenced article.
If you have any questions or remarks, feel free to get in touch.
TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
PyTorch, the PyTorch logo and any related marks are trademarks of The Linux Foundation.
Montserrat and Source Sans are fonts licensed under the SIL Open Font License version 1.1.
Mathjax is licensed under the Apache License, Version 2.0.