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Google Research, 2022 & beyond: Algorithmic advances

Google Research AI blog

In 2022, we continued this journey, and advanced the state-of-the-art in several related areas. We also had a number of interesting results on graph neural networks (GNN) in 2022. Top Market algorithms and causal inference We also continued our research in improving online marketplaces in 2022.

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Google Research, 2022 & beyond: Algorithms for efficient deep learning

Google Research AI blog

In 2022, we focused on new techniques for infusing external knowledge by augmenting models via retrieved context; mixture of experts; and making transformers (which lie at the heart of most large ML models) more efficient. Google Research, 2022 & beyond This was the fourth blog post in the “Google Research, 2022 & Beyond” series.

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AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI Weekly

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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Understanding BERT

Mlearning.ai

Pre-training of Deep Bidirectional Transformers for Language Understanding BERT is a language model that can be fine-tuned for various NLP tasks and at the time of publication achieved several state-of-the-art results. Finally, the impact of the paper and applications of BERT are evaluated from today’s perspective. 1 Architecture III.2

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Nomic AI Releases the First Fully Open-Source Long Context Text Embedding Model that Surpasses OpenAI Ada-002 Performance on Various Benchmarks

Marktechpost

2022), and Ram et al. 2022), GTE by Li et al. 2022), remain behind closed doors. Initially, a Masked Language Modeling Pretraining phase utilized resources like BooksCorpus and a Wikipedia dump from 2023, employing the bert-base-uncased tokenizer to create data chunks suited for long-context training.

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Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

In 2022, we expanded our research interactions and programs to faculty and students across Latin America , which included grants to women in computer science in Ecuador. See some of the datasets and tools we released in 2022 listed below. We work towards inclusive goals and work across the globe to achieve them.

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Journey to AI blog

A 2022 CDP study found that for companies that report to CDP, emissions occurring in their supply chain represent an average of 11.4x In simpler terms, these emissions arise from external sources, such as emissions associated with suppliers and customers and are beyond the company’s core operations.

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