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This article is a compilation of 10 noteworthy AI research papers of 2023.

A clearly focused AI implementation strategy is key to building a future-proof AI environment.

A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence.

The Google Research next-generation AI architecture is called Pathways. It will enable a single model to learn millions of things instead of just one thing.

[Updated on 2022-03-13: add expert choice routing.] [Updated on 2022-06-10]: Greg and I wrote a shorted and upgraded version of this post, published on OpenAI Blog: “Techniques for Training Large Neural Networks” In recent years, we are seeing better results on many NLP benchmark tasks with larger pre-trained language models. How to train large and deep neural networks is challenging, as it demands a large amount of GPU memory and a long horizon of training time.

OpenAI’s beta ChatGPT service based on the GPT-3 database of content is amazing people with its human-like conversations, but the technology is not as deep as it seems — yet.

OpenAI’s beta ChatGPT service based on the GPT-3 database of content is amazing people with its human-like conversations, but the technology is not as deep as it seems — yet.

With so many large language models coming out this year, can we expect a 100T model in 2022?

Some researchers and policymakers suggest that Artificial Intelligence or AI will provide the most game-changing solutions to climate change.

NVIDIA, in partnership with Microsoft, has created a language processor that can, according to them, 'naturally complete' sentences, perform reasoning, and answer questions as naturally as possible.