Bidirectional Encoder Representations from Transformers (BERT)

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• Assistants ... Hybrid Assistants ... Agents ... Negotiation ... Langchain
• Natural Language Processing (NLP) ...Generation ...LLM ...Tools & Services
• Attention Mechanism ...Transformer Model ...Generative Pre-trained Transformer (GPT)
• SMART - Multi-Task Deep Neural Networks (MT-DNN)
• Deep Distributed Q Network Partial Observability
• Google
• TaBERT
• 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
  • Generative Pre-trained Transformer (GPT)2/3
• Generative AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's BingAI ... You ...Google's Bard ... Baidu's Ernie
  • ChatGPT is everywhere. Here’s where it came from | Will Douglas Heaven - MIT Technology Review
• Transformer-XL
• 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
• 7 Leading Language Models for NLP in 2020 | Mariya Yao - TOPBOTS
• BERT Inner Workings | George Mihaila - TOPBOTS

BERT Research | Chris McCormick

• BERT Research | Chris McCormick
• ChrisMcCormickAI online education