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Tech Giants Embrace Synthetic Data for AI Training

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Innehåll tillhandahållet av Dr. Tony Hoang. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Dr. Tony Hoang eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Top technology companies, including Microsoft, Google, and Meta, are turning to synthetic data to obtain the large amounts of data needed to train their artificial intelligence (AI) models. Synthetic data, also known as fake data, is created by AI systems and can be used to train future versions of those same systems. This approach eliminates the need for licensed content and reduces legal, ethical, and privacy concerns. However, experts raise concerns about the risks associated with synthetic data, such as model collapse and the amplification of biases and toxicities. Despite the advantages, human intelligence is still crucial in creating and refining artificial datasets. Additionally, a mysterious chatbot called gpt2-chatbot has appeared, exhibiting performance similar to industry leader OpenAI's GPT-4. The developer's identity remains unknown.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
  continue reading

616 episoder

Artwork
iconDela
 
Manage episode 416265510 series 3385494
Innehåll tillhandahållet av Dr. Tony Hoang. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Dr. Tony Hoang eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Top technology companies, including Microsoft, Google, and Meta, are turning to synthetic data to obtain the large amounts of data needed to train their artificial intelligence (AI) models. Synthetic data, also known as fake data, is created by AI systems and can be used to train future versions of those same systems. This approach eliminates the need for licensed content and reduces legal, ethical, and privacy concerns. However, experts raise concerns about the risks associated with synthetic data, such as model collapse and the amplification of biases and toxicities. Despite the advantages, human intelligence is still crucial in creating and refining artificial datasets. Additionally, a mysterious chatbot called gpt2-chatbot has appeared, exhibiting performance similar to industry leader OpenAI's GPT-4. The developer's identity remains unknown.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
  continue reading

616 episoder

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