Difference between revisions of "Bidirectional Encoder Representations from Transformers (BERT)"
(→BERT Research | Chris McCormick) |
|||
| Line 49: | Line 49: | ||
* [http://mccormickml.com/2019/11/11/bert-research-ep-1-key-concepts-and-sources/ BERT Research | Chris McCormick] | * [http://mccormickml.com/2019/11/11/bert-research-ep-1-key-concepts-and-sources/ BERT Research | Chris McCormick] | ||
| + | * [http://www.chrismccormick.ai/ ChrisMcCormickAI] online education | ||
| − | <img src="http://www.mccormickml.com/assets/BERT/BERT_Mountain.png" width=" | + | <img src="http://www.mccormickml.com/assets/BERT/BERT_Mountain.png" width="700" height="400"> |
<youtube>FKlPCK1uFrc</youtube> | <youtube>FKlPCK1uFrc</youtube> | ||
<youtube>_eSGWNqKeeY</youtube> | <youtube>_eSGWNqKeeY</youtube> | ||
<youtube>l8ZYCvgGu0o</youtube> | <youtube>l8ZYCvgGu0o</youtube> | ||
Revision as of 05:42, 27 April 2020
Youtube search... ...Google search
- Natural Language Processing (NLP)
- Google is improving 10 percent of searches by understanding language context - Say hello to BERT | Dieter Bohn - The Verge ...the old Google search algorithm treated that sentence as a “Bag-of-Words (BoW)”
- Google AI’s ALBERT claims top spot in multiple NLP performance benchmarks | Khari Johnson - VentureBeat
- RoBERTa:
- RoBERTa: A Robustly Optimized BERT Pretraining Approach | Y. Li, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov
- RoBERTa: A Robustly Optimized BERT Pretraining Approach | GitHub - iterates on BERT's pretraining procedure, including training the model longer, with bigger batches over more data; removing the next sentence prediction objective; training on longer sequences; and dynamically changing the masking pattern applied to the training data.
- Facebook AI’s RoBERTa improves Google’s BERT pretraining methods | Khari Johnson - VentureBeat
- Google's BERT - built on ideas from ULMFiT, ELMo, and OpenAI
- Attention Mechanism/Transformer Model
- Microsoft makes Google’s BERT NLP model better | Khari Johnson - VentureBeat
- Watch me Build a Finance Startup | Siraj Raval
- Smaller, faster, cheaper, lighter: Introducing DistilBERT, a distilled version of BERT | Victor Sanh - Medium
- TinyBERT: Distilling BERT for Natural Language Understanding | X. Jiao, Y. Yin, L. Shang, X. Jiang, X. Chen, L. Li, F. Wang, and Q. Liu researchers at Huawei produces a model called TinyBERT that is 7.5 times smaller and nearly 10 times faster than the original. It also reaches nearly the same language understanding performance as the original.
- Understanding BERT: Is it a Game Changer in NLP? | Bharat S Raj - Towards Data Science
- Allen Institute for Artificial Intelligence, or AI2’s Aristo AI system finally passes an eighth-grade science test | Alan Boyle - GeekWire
- SMART - Multi-Task Deep Neural Networks (MT-DNN)
BERT Research | Chris McCormick
- BERT Research | Chris McCormick
- ChrisMcCormickAI online education
