RESEARCH

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Differentially Private SGD Improves Ad Model Training Efficiency

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@googleai

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07 December 2022 20h31

Learn how differentially private stochastic gradient descent (DP-SGD) can be applied to train ad prediction models privately with more improved model utility than previously expected, all while reducing computation and memory overhead. Read more → https://
goo.gle/3VUTlbn

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Open Catalyst Challenge 2022 NeurIPS Participation Thank You

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@aiatmeta

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07 December 2022 20h28

Thank you to everyone who participated in this year’s Open Catalyst Challenge at #NeurIPS2022!

Citations and Fact-Checking: Foundations of AI Accountability

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07 December 2022 19h08

Citations are a way to ensure that non-accurate results can be fact-checked. Citations inspired (albeit in a different way) the Google PageRank Algorithm.

Search Accuracy Issues in LLM Entity Resolution Systems

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07 December 2022 19h07

Results are not always accurate. For example, a search about “what are LLMs” struggles with entity resolution with the law degree and large language models. Feedback for negative results could help fix this. pic.twitter.com/w1JtYehRup
— Perplexity (@perplexity_ai) 7 décembre 2022

Results are not always accurate. For example, a search about “what are LLMs” struggles with entity resolution with the law degree and large language models. Feedback for negative results could help fix this.

Has Google Search Quality Declined With AI Integration?

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07 December 2022 19h05

“has google search quality gone down”

WebGPT-Inspired Search with AI Summaries and Citations

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07 December 2022 19h04

Inspired by OpenAI WebGPT, instead of displaying a list of links, we summarize the search results and include citations so that you can easily verify the accuracy of the information provided.