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Understanding Scaling Law through Data Science Lenses

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Manage episode 414956475 series 3474670
Kandungan disediakan oleh HackerNoon. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HackerNoon atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-scaling-law-through-data-science-lenses.
Despite the immense promise of LMs, initial endeavors to apply pre-trained LMs to downstream tasks have encountered significant challenges.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #scaling-law, #artificial-intelligence, #tokenizing-raw-text, #discrete-tokens, #embedding-vector, #token-embeddings, #power-laws, and more.
This story was written by: @tianchengxu. Learn more about this writer by checking @tianchengxu's about page, and for more stories, please visit hackernoon.com.
Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs to downstream tasks encountered significant challenges.

  continue reading

89 episod

Artwork
iconKongsi
 
Manage episode 414956475 series 3474670
Kandungan disediakan oleh HackerNoon. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HackerNoon atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-scaling-law-through-data-science-lenses.
Despite the immense promise of LMs, initial endeavors to apply pre-trained LMs to downstream tasks have encountered significant challenges.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #scaling-law, #artificial-intelligence, #tokenizing-raw-text, #discrete-tokens, #embedding-vector, #token-embeddings, #power-laws, and more.
This story was written by: @tianchengxu. Learn more about this writer by checking @tianchengxu's about page, and for more stories, please visit hackernoon.com.
Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs to downstream tasks encountered significant challenges.

  continue reading

89 episod

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