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Understanding Scaling Law through Data Science Lenses

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Manage episode 414956475 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.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

126 episodes

Artwork
iconShare
 
Manage episode 414956475 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.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

126 episodes

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