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Alabama's Mercy Chelangat Earns Her 1st NCAA Track Title With Dominant 10,000-Meter Win

Alabama's Mercy Chelangat Earns Her 1st NCAA Track Title With Dominant 10,000-Meter Win
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United States , Hannah Branch , New Mexico , Gabby Nichols , Lauren Gregory , Julie Alfred , Taylor Roe , John Anderson , Abby Steiner , Julien Alfred , Dylan Jacobs , Camryn Rogers , Campbell Athanas Kioko , Vincent Kiprop , Katelyn Tuohy , Katie Rose , Mercy Cherono , Haley Herberg , Jenna Magness , Field Championships , Mercy Chelangat , Grace Forbes , Nike Vaporflys , Athanas Kioko , Michigan State , Discussion Thread ,

2022 New Balance Indoor Grand Prix Schedule and Results

By LetsRun.com February 6, 2021 Compiled results for today's 2022 New Balance Indoor Grand Prix track and field meet - a World Athletics Indoor Tour gold ....

Balance Indoor Grand Prix , World Athletics Indoor Tour , Staten Island , Discussion Thread ,

The Illustrated Retrieval Transformer

Discussion: Discussion Thread for comments, corrections, or any feedback.



Summary: The latest batch of language models can be much smaller yet achieve GPT-3 like performance by being able to query a database or search the web for information. A key indication is that building larger and larger models is not the only way to improve performance.



The last few years saw the rise of Large Language Models (LLMs) – machine learning models that rapidly improve how machines process and generate language. Some of the highlights since 2017 include:


The original Transformer breaks previous performance records for machine translation.
BERT popularizes the pre-training then finetuning process, as well as Transformer-based contextualized word embeddings. It then rapidly starts to power Google Search and Bing Search.
GPT-2 demonstrates the machine’s ability to write as well as humans do.
First T5, then T0 push the boundaries of transfer le ....

Discussion Thread , Large Language Models , Google Search , Improving Language Models , Separating Language Information , World Knowledge , Transformer Encoder , Illustrated Transformer , Chunked Cross Attention ,